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Cure Model Regression

Usage

# S3 method for formula
cureit(
  surv_formula,
  cure_formula,
  data,
  conf.level = 0.95,
  nboot = 100,
  eps = 1e-07,
  ...
)

cureit(object, ...)

# S3 method for default
cureit(object, ...)

Arguments

surv_formula

formula with Surv() on LHS and covariates on RHS.

cure_formula

formula with covariates for cure fraction on RHS

data

data frame

conf.level

confidence level. Default is 0.95.

nboot

number of bootstrap samples used for inference.

eps

convergence criterion for the EM algorithm.

...

passed to methods

object

input object

Value

cureit object

See also

Examples

cureit(surv_formula = Surv(ttdeath, death) ~ age + grade, 
cure_formula = ~ age + grade,  data = trial)
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002616112               0.569504769               0.345883977 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.575003030             0.009813492             0.108542405 
#>   grade_iii, Cure model 
#>             0.823899189 
#> 
#> $surv_formula
#> Surv(ttdeath, death) ~ age + grade
#> <environment: 0x55e42b372ba0>
#> 
#> $cure_formula
#> ~age + grade
#> <environment: 0x55e42b372ba0>
#> 
#> $data
#> # A tibble: 200 × 8
#>    trt      age marker stage grade response death ttdeath
#>    <chr>  <dbl>  <dbl> <fct> <fct>    <int> <dbl>   <dbl>
#>  1 Drug A    23  0.16  T1    II           0     0    24  
#>  2 Drug B     9  1.11  T2    I            1     0    24  
#>  3 Drug A    31  0.277 T1    II           0     0    24  
#>  4 Drug A    NA  2.07  T3    III          1     1    17.6
#>  5 Drug A    51  2.77  T4    III          1     1    16.4
#>  6 Drug B    39  0.613 T4    I            0     1    15.6
#>  7 Drug A    37  0.354 T1    II           0     0    24  
#>  8 Drug A    32  1.74  T1    I            0     1    18.4
#>  9 Drug A    31  0.144 T1    II           0     0    24  
#> 10 Drug B    34  0.205 T3    I            0     1    10.5
#> # … with 190 more rows
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> $surv_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $cure_xlevels
#> $cure_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 7
#>   term                    estimate std.error statistic conf.low conf.h…¹ p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>    <dbl>    <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.575     0.502      -1.15  -1.56      0.409   0.252 
#> 2 age, Cure model          0.00981   0.00977     1.00  -0.00934   0.0290  0.315 
#> 3 grade_ii, Cure model     0.109     0.348       0.312 -0.573     0.790   0.755 
#> 4 grade_iii, Cure model    0.824     0.360       2.29   0.118     1.53    0.0222
#> # … with abbreviated variable name ¹​conf.high
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 7
#>   term                      estimate std.error statistic conf.…¹ conf.…² p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>   <dbl>   <dbl>
#> 1 age, Survival model       -0.00262   0.00934    -0.280 -0.0209  0.0157  0.779 
#> 2 grade_ii, Survival model   0.570     0.266       2.14   0.0489  1.09    0.0320
#> 3 grade_iii, Survival model  0.346     0.247       1.40  -0.139   0.831   0.162 
#> # … with abbreviated variable names ¹​conf.low, ²​conf.high
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.575003          0.009813          0.108542          0.823899  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 253.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.575003030      0.009813492      0.108542405      0.823899189 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002616112      0.569504769      0.345883977 
#> 
#> $b_var
#> [1] 0.2520689112 0.0000954714 0.1207777292 0.1297791855
#> 
#> $b_sd
#> [1] 0.502064648 0.009770947 0.347530904 0.360248783
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.1452769        1.0043543        0.3123245        2.2870284 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.25209448       0.31520787       0.75479395       0.02219417 
#> 
#> $beta_var
#> [1] 8.717729e-05 7.054653e-02 6.117346e-02
#> 
#> $beta_sd
#> [1] 0.009336878 0.265605964 0.247332690
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.2801913        2.1441716        1.3984564 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.77933075       0.03201914       0.16197606 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.000000000 0.000000000 0.000000000 0.604678067 0.658063410 0.000000000
#>   [7] 0.417229340 0.000000000 0.879376354 0.000000000 0.000000000 0.744886187
#>  [13] 0.787600867 0.142672058 0.944518547 0.000000000 0.693100768 0.000000000
#>  [19] 0.000000000 0.000000000 0.000000000 0.540871173 0.006912639 0.976381134
#>  [25] 0.640373656 0.000000000 0.000000000 0.684419417 0.522291631 0.000000000
#>  [31] 0.278243702 0.000000000 0.000000000 0.000000000 0.246976530 0.821307758
#>  [37] 0.000000000 0.666890646 0.466018936 0.456394953 0.829660071 0.854634203
#>  [43] 0.000000000 0.531599829 0.000000000 0.000000000 0.000000000 0.846335953
#>  [49] 0.446649365 0.887603756 0.000000000 0.000000000 0.368370905 0.837991986
#>  [55] 0.736284601 0.368370905 0.762052697 0.904005497 0.000000000 0.130947018
#>  [61] 0.000000000 0.000000000 0.178167087 0.000000000 0.298558895 0.093531067
#>  [67] 0.960518552 0.000000000 0.000000000 0.000000000 0.000000000 0.387858887
#>  [73] 0.968455884 0.020860827 0.613665875 0.000000000 0.753465281 0.000000000
#>  [79] 0.000000000 0.000000000 0.586773524 0.036370054 0.000000000 0.427038837
#>  [85] 0.267747949 0.984266892 0.106209363 0.895813391 0.000000000 0.000000000
#>  [91] 0.727657186 0.397671772 0.000000000 0.246976530 0.631469660 0.920311545
#>  [97] 0.000000000 0.000000000 0.000000000 0.348502061 0.550166021 0.862915985
#> [103] 0.436874482 0.000000000 0.494318881 0.513013956 0.000000000 0.118522726
#> [109] 0.000000000 0.503694197 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.779118376 0.649247645 0.000000000 0.992139734 0.308649170
#> [121] 0.080274841 0.568542449 0.000000000 0.000000000 0.718999352 0.475516896
#> [127] 0.000000000 0.201867710 0.000000000 0.000000000 0.224987874 0.796088245
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.912176411 0.000000000
#> [139] 0.000000000 0.000000000 0.952539418 0.318644852 0.000000000 0.000000000
#> [145] 0.236117909 0.804529313 0.770582430 0.000000000 0.701722215 0.328677697
#> [151] 0.871155498 0.000000000 0.000000000 0.000000000 0.000000000 0.065734870
#> [157] 0.000000000 0.338572747 0.675684959 0.050684149 0.154512416 0.358472658
#> [163] 0.559374570 0.000000000 0.000000000 0.000000000 0.189977968 0.000000000
#> [169] 0.812910823 0.000000000 0.407438340 0.710355937 0.577676416 0.000000000
#> [175] 0.936485829 0.484909262 0.000000000 0.000000000 0.928419678 0.622583868
#> [181] 0.288505592 0.000000000 0.586773524 0.000000000 0.166456957 0.000000000
#> [187] 0.213576414 0.000000000 0.000000000
#> 
#> $Time
#>     1     2     3     5     6     7     8     9    10    11    12    13    14 
#> 24.00 24.00 24.00 16.43 15.64 24.00 18.43 24.00 10.53 24.00 24.00 14.34 12.89 
#>    15    16    17    18    19    20    21    22    23    24    25    26    27 
#> 22.68  8.71 24.00 15.21 24.00 24.00 24.00 24.00 16.92 23.89  6.32 15.77 24.00 
#>    28    29    30    31    32    33    34    35    36    37    38    39    40 
#> 24.00 15.45 17.43 24.00 20.90 24.00 24.00 24.00 21.19 12.52 24.00 15.59 18.00 
#>    41    42    43    44    45    46    47    48    49    51    52    53    54 
#> 18.02 12.43 12.10 24.00 17.42 24.00 24.00 24.00 12.19 18.23 10.42 24.00 24.00 
#>    55    56    57    58    60    61    62    63    64    65    66    67    68 
#> 19.34 12.21 14.46 19.34 13.15 10.12 24.00 22.77 24.00 24.00 22.13 24.00 20.62 
#>    69    70    71    72    74    75    76    77    78    79    80    81    82 
#> 23.23  7.38 24.00 24.00 24.00 24.00 19.22  7.27 23.88 16.23 24.00 14.06 24.00 
#>    83    84    85    86    87    88    90    91    92    93    94    95    96 
#> 24.00 24.00 16.44 23.81 24.00 18.37 20.94  5.33 22.92 10.33 24.00 24.00 14.54 
#>    97    98    99   100   101   102   103   104   105   106   107   108   109 
#> 19.14 24.00 21.19 16.07  9.97 24.00 24.00 24.00 19.75 16.67 11.18 18.29 24.00 
#>   110   111   112   113   116   117   118   119   120   121   122   123   125 
#> 17.56 17.45 24.00 22.86 24.00 17.46 24.00 24.00 24.00 24.00 24.00 13.00 15.65 
#>   126   127   128   129   130   131   132   133   134   135   136   137   138 
#> 24.00  3.53 20.35 23.41 16.47 24.00 24.00 14.65 17.81 24.00 21.83 24.00 24.00 
#>   139   140   141   142   143   144   145   146   147   148   149   150   151 
#> 21.49 12.68 24.00 24.00 24.00 24.00 10.07 24.00 24.00 24.00  8.37 20.33 24.00 
#>   152   153   154   155   156   157   158   159   160   161   162   163   164 
#> 24.00 21.33 12.63 13.08 24.00 15.10 20.14 10.55 24.00 24.00 24.00 24.00 23.60 
#>   165   166   167   168   169   170   171   172   173   174   175   176   177 
#> 24.00 19.98 15.55 23.72 22.41 19.54 16.57 24.00 24.00 24.00 21.91 24.00 12.53 
#>   178   179   180   181   182   183   184   185   186   187   188   190   191 
#> 24.00 18.63 14.82 16.46 24.00  9.24 17.77 24.00 24.00  9.92 16.16 20.81 24.00 
#>   192   193   194   196   197   198   200 
#> 16.44 24.00 22.40 24.00 21.60 24.00 24.00 
#> 
#> $bootstrap_fit
#> $bootstrap_fit[[1]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004011182               0.531727504               0.200639269 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.13396974             -0.00404174              0.03055984 
#>   grade_iii, Cure model 
#>              0.57098686 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 159   10.55      1  50        0         1
#> 106   16.67      1  49        1         0
#> 117   17.46      1  26        0         1
#> 199   19.81      1  NA        0         1
#> 124    9.73      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 40    18.00      1  28        1         0
#> 16     8.71      1  71        0         1
#> 169   22.41      1  46        0         0
#> 124.1  9.73      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 140   12.68      1  59        1         0
#> 150   20.33      1  48        0         0
#> 70     7.38      1  30        1         0
#> 5     16.43      1  51        0         1
#> 23    16.92      1  61        0         0
#> 15    22.68      1  48        0         0
#> 157   15.10      1  47        0         0
#> 128   20.35      1  35        0         1
#> 5.1   16.43      1  51        0         1
#> 43    12.10      1  61        0         1
#> 139   21.49      1  63        1         0
#> 124.2  9.73      1  NA        1         0
#> 15.1  22.68      1  48        0         0
#> 39    15.59      1  37        0         1
#> 127    3.53      1  62        0         1
#> 187    9.92      1  39        1         0
#> 164   23.60      1  76        0         1
#> 166   19.98      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 88    18.37      1  47        0         0
#> 183    9.24      1  67        1         0
#> 117.1 17.46      1  26        0         1
#> 169.1 22.41      1  46        0         0
#> 169.2 22.41      1  46        0         0
#> 101    9.97      1  10        0         1
#> 101.1  9.97      1  10        0         1
#> 79    16.23      1  54        1         0
#> 10    10.53      1  34        0         0
#> 107   11.18      1  54        1         0
#> 42    12.43      1  49        0         1
#> 78    23.88      1  43        0         0
#> 92    22.92      1  47        0         1
#> 43.1  12.10      1  61        0         1
#> 114   13.68      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 59    10.16      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 57    14.46      1  45        0         1
#> 8     18.43      1  32        0         0
#> 175   21.91      1  43        0         0
#> 56    12.21      1  60        0         0
#> 76    19.22      1  54        0         1
#> 124.3  9.73      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 175.1 21.91      1  43        0         0
#> 194.1 22.40      1  38        0         1
#> 105   19.75      1  60        0         0
#> 96    14.54      1  33        0         1
#> 133   14.65      1  57        0         0
#> 66    22.13      1  53        0         0
#> 128.1 20.35      1  35        0         1
#> 154   12.63      1  20        1         0
#> 123.1 13.00      1  44        1         0
#> 100   16.07      1  60        0         0
#> 36    21.19      1  48        0         1
#> 13    14.34      1  54        0         1
#> 158   20.14      1  74        1         0
#> 63    22.77      1  31        1         0
#> 92.1  22.92      1  47        0         1
#> 108   18.29      1  39        0         1
#> 45    17.42      1  54        0         1
#> 59.1  10.16      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 194.2 22.40      1  38        0         1
#> 177   12.53      1  75        0         0
#> 129   23.41      1  53        1         0
#> 175.2 21.91      1  43        0         0
#> 154.1 12.63      1  20        1         0
#> 43.2  12.10      1  61        0         1
#> 49.1  12.19      1  48        1         0
#> 150.1 20.33      1  48        0         0
#> 192   16.44      1  31        1         0
#> 60    13.15      1  38        1         0
#> 155   13.08      1  26        0         0
#> 69    23.23      1  25        0         1
#> 6     15.64      1  39        0         0
#> 157.1 15.10      1  47        0         0
#> 56.1  12.21      1  60        0         0
#> 13.1  14.34      1  54        0         1
#> 93    10.33      1  52        0         1
#> 77     7.27      1  67        0         1
#> 180   14.82      1  37        0         0
#> 100.1 16.07      1  60        0         0
#> 66.1  22.13      1  53        0         0
#> 37    12.52      1  57        1         0
#> 26    15.77      1  49        0         1
#> 43.3  12.10      1  61        0         1
#> 124.4  9.73      1  NA        1         0
#> 140.1 12.68      1  59        1         0
#> 180.1 14.82      1  37        0         0
#> 70.1   7.38      1  30        1         0
#> 134   17.81      1  47        1         0
#> 86    23.81      1  58        0         1
#> 63.1  22.77      1  31        1         0
#> 158.1 20.14      1  74        1         0
#> 107.1 11.18      1  54        1         0
#> 170   19.54      1  43        0         1
#> 159.1 10.55      1  50        0         1
#> 41    18.02      1  40        1         0
#> 43.4  12.10      1  61        0         1
#> 194.3 22.40      1  38        0         1
#> 196   24.00      0  19        0         0
#> 196.1 24.00      0  19        0         0
#> 34    24.00      0  36        0         0
#> 3     24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 165   24.00      0  47        0         0
#> 161   24.00      0  45        0         0
#> 109   24.00      0  48        0         0
#> 27    24.00      0  63        1         0
#> 120   24.00      0  68        0         1
#> 182   24.00      0  35        0         0
#> 84    24.00      0  39        0         1
#> 34.1  24.00      0  36        0         0
#> 156   24.00      0  50        1         0
#> 152   24.00      0  36        0         1
#> 161.1 24.00      0  45        0         0
#> 137   24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 12    24.00      0  63        0         0
#> 27.1  24.00      0  63        1         0
#> 72    24.00      0  40        0         1
#> 146   24.00      0  63        1         0
#> 142   24.00      0  53        0         0
#> 146.1 24.00      0  63        1         0
#> 53    24.00      0  32        0         1
#> 34.2  24.00      0  36        0         0
#> 71    24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 152.1 24.00      0  36        0         1
#> 72.1  24.00      0  40        0         1
#> 142.1 24.00      0  53        0         0
#> 98    24.00      0  34        1         0
#> 146.2 24.00      0  63        1         0
#> 121.1 24.00      0  57        1         0
#> 173   24.00      0  19        0         1
#> 138   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 147   24.00      0  76        1         0
#> 62.1  24.00      0  71        0         0
#> 162   24.00      0  51        0         0
#> 62.2  24.00      0  71        0         0
#> 142.2 24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 17    24.00      0  38        0         1
#> 103   24.00      0  56        1         0
#> 19    24.00      0  57        0         1
#> 74.1  24.00      0  43        0         1
#> 191.1 24.00      0  60        0         1
#> 152.2 24.00      0  36        0         1
#> 3.1   24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 131   24.00      0  66        0         0
#> 121.2 24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 182.1 24.00      0  35        0         0
#> 47    24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 38    24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 22    24.00      0  52        1         0
#> 198   24.00      0  66        0         1
#> 165.1 24.00      0  47        0         0
#> 173.1 24.00      0  19        0         1
#> 142.3 24.00      0  53        0         0
#> 17.1  24.00      0  38        0         1
#> 27.2  24.00      0  63        1         0
#> 62.3  24.00      0  71        0         0
#> 135   24.00      0  58        1         0
#> 103.1 24.00      0  56        1         0
#> 198.1 24.00      0  66        0         1
#> 31.1  24.00      0  36        0         1
#> 12.1  24.00      0  63        0         0
#> 132   24.00      0  55        0         0
#> 103.2 24.00      0  56        1         0
#> 131.1 24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 20.1  24.00      0  46        1         0
#> 198.2 24.00      0  66        0         1
#> 196.2 24.00      0  19        0         0
#> 11    24.00      0  42        0         1
#> 172   24.00      0  41        0         0
#> 165.2 24.00      0  47        0         0
#> 174   24.00      0  49        1         0
#> 137.1 24.00      0  45        1         0
#> 147.1 24.00      0  76        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.134          NA        NA      NA
#> 2 age, Cure model         -0.00404        NA        NA      NA
#> 3 grade_ii, Cure model     0.0306         NA        NA      NA
#> 4 grade_iii, Cure model    0.571          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00401        NA        NA      NA
#> 2 grade_ii, Survival model   0.532          NA        NA      NA
#> 3 grade_iii, Survival model  0.201          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.133970         -0.004042          0.030560          0.570987  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262.4 
#> Residual Deviance: 258.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.13396974      -0.00404174       0.03055984       0.57098686 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004011182      0.531727504      0.200639269 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.90982598 0.60315576 0.56867069 0.27306045 0.54197432 0.96852678
#>   [7] 0.23619225 0.77017327 0.78506286 0.42664071 0.97490440 0.61997891
#>  [13] 0.59456131 0.21008580 0.68453481 0.40603136 0.61997891 0.86320694
#>  [19] 0.37361098 0.21008580 0.67656675 0.99374486 0.95566611 0.09150467
#>  [25] 0.46630755 0.51408317 0.96212280 0.56867069 0.23619225 0.23619225
#>  [31] 0.94270998 0.94270998 0.63636295 0.92300055 0.89655657 0.82828003
#>  [37] 0.02734658 0.15228391 0.86320694 0.39536984 0.93618501 0.73173348
#>  [43] 0.50464907 0.34058535 0.83536376 0.49519076 0.55987751 0.34058535
#>  [49] 0.27306045 0.47599946 0.72389040 0.71601360 0.31777469 0.40603136
#>  [55] 0.79963294 0.77017327 0.64449113 0.38456452 0.73953775 0.44704106
#>  [61] 0.18327741 0.15228391 0.52348150 0.58593229 0.84940663 0.27306045
#>  [67] 0.81398235 0.11492333 0.34058535 0.79963294 0.86320694 0.84940663
#>  [73] 0.42664071 0.61162096 0.75489700 0.76253934 0.13405744 0.66855930
#>  [79] 0.68453481 0.83536376 0.73953775 0.92960460 0.98746730 0.70030250
#>  [85] 0.64449113 0.31777469 0.82116663 0.66053557 0.86320694 0.78506286
#>  [91] 0.70030250 0.97490440 0.55100262 0.06344453 0.18327741 0.44704106
#>  [97] 0.89655657 0.48563798 0.90982598 0.53280798 0.86320694 0.27306045
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   159   106   117   194    40    16   169   123   140   150    70     5    23 
#> 10.55 16.67 17.46 22.40 18.00  8.71 22.41 13.00 12.68 20.33  7.38 16.43 16.92 
#>    15   157   128   5.1    43   139  15.1    39   127   187   164   166    88 
#> 22.68 15.10 20.35 16.43 12.10 21.49 22.68 15.59  3.53  9.92 23.60 19.98 18.37 
#>   183 117.1 169.1 169.2   101 101.1    79    10   107    42    78    92  43.1 
#>  9.24 17.46 22.41 22.41  9.97  9.97 16.23 10.53 11.18 12.43 23.88 22.92 12.10 
#>    90   145    57     8   175    56    76   110 175.1 194.1   105    96   133 
#> 20.94 10.07 14.46 18.43 21.91 12.21 19.22 17.56 21.91 22.40 19.75 14.54 14.65 
#>    66 128.1   154 123.1   100    36    13   158    63  92.1   108    45    49 
#> 22.13 20.35 12.63 13.00 16.07 21.19 14.34 20.14 22.77 22.92 18.29 17.42 12.19 
#> 194.2   177   129 175.2 154.1  43.2  49.1 150.1   192    60   155    69     6 
#> 22.40 12.53 23.41 21.91 12.63 12.10 12.19 20.33 16.44 13.15 13.08 23.23 15.64 
#> 157.1  56.1  13.1    93    77   180 100.1  66.1    37    26  43.3 140.1 180.1 
#> 15.10 12.21 14.34 10.33  7.27 14.82 16.07 22.13 12.52 15.77 12.10 12.68 14.82 
#>  70.1   134    86  63.1 158.1 107.1   170 159.1    41  43.4 194.3   196 196.1 
#>  7.38 17.81 23.81 22.77 20.14 11.18 19.54 10.55 18.02 12.10 22.40 24.00 24.00 
#>    34     3    62   165   161   109    27   120   182    84  34.1   156   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1   137    74    12  27.1    72   146   142 146.1    53  34.2    71   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1  72.1 142.1    98 146.2 121.1   173   138   160   122   191   147  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162  62.2 142.2    82    17   103    19  74.1 191.1 152.2   3.1     1   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.2   148 182.1    47   143   193    38    31    22   198 165.1 173.1 142.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1  27.2  62.3   135 103.1 198.1  31.1  12.1   132 103.2 131.1    20  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.2 196.2    11   172 165.2   174 137.1 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[2]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01707941                0.58948024                0.82135278 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.469397938             0.006511403             0.448186298 
#>   grade_iii, Cure model 
#>             0.690722876 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 197   21.60      1  69        1         0
#> 42    12.43      1  49        0         1
#> 18    15.21      1  49        1         0
#> 8     18.43      1  32        0         0
#> 68    20.62      1  44        0         0
#> 23    16.92      1  61        0         0
#> 15    22.68      1  48        0         0
#> 57    14.46      1  45        0         1
#> 164   23.60      1  76        0         1
#> 93    10.33      1  52        0         1
#> 129   23.41      1  53        1         0
#> 105   19.75      1  60        0         0
#> 125   15.65      1  67        1         0
#> 5     16.43      1  51        0         1
#> 24    23.89      1  38        0         0
#> 23.1  16.92      1  61        0         0
#> 97    19.14      1  65        0         1
#> 197.1 21.60      1  69        1         0
#> 4     17.64      1  NA        0         1
#> 39    15.59      1  37        0         1
#> 124    9.73      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 8.1   18.43      1  32        0         0
#> 56    12.21      1  60        0         0
#> 29    15.45      1  68        1         0
#> 187    9.92      1  39        1         0
#> 60    13.15      1  38        1         0
#> 96    14.54      1  33        0         1
#> 114   13.68      1  NA        0         0
#> 111   17.45      1  47        0         1
#> 101    9.97      1  10        0         1
#> 78    23.88      1  43        0         0
#> 63    22.77      1  31        1         0
#> 110   17.56      1  65        0         1
#> 79    16.23      1  54        1         0
#> 93.1  10.33      1  52        0         1
#> 189   10.51      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 179   18.63      1  42        0         0
#> 105.1 19.75      1  60        0         0
#> 105.2 19.75      1  60        0         0
#> 32    20.90      1  37        1         0
#> 188   16.16      1  46        0         1
#> 61    10.12      1  36        0         1
#> 30    17.43      1  78        0         0
#> 133   14.65      1  57        0         0
#> 97.1  19.14      1  65        0         1
#> 29.1  15.45      1  68        1         0
#> 97.2  19.14      1  65        0         1
#> 81    14.06      1  34        0         0
#> 184   17.77      1  38        0         0
#> 69    23.23      1  25        0         1
#> 89    11.44      1  NA        0         0
#> 127    3.53      1  62        0         1
#> 130   16.47      1  53        0         1
#> 76    19.22      1  54        0         1
#> 166   19.98      1  48        0         0
#> 140   12.68      1  59        1         0
#> 168   23.72      1  70        0         0
#> 14    12.89      1  21        0         0
#> 55    19.34      1  69        0         1
#> 101.1  9.97      1  10        0         1
#> 113   22.86      1  34        0         0
#> 107   11.18      1  54        1         0
#> 149    8.37      1  33        1         0
#> 153   21.33      1  55        1         0
#> 18.1  15.21      1  49        1         0
#> 154   12.63      1  20        1         0
#> 111.1 17.45      1  47        0         1
#> 43    12.10      1  61        0         1
#> 195   11.76      1  NA        1         0
#> 197.2 21.60      1  69        1         0
#> 42.1  12.43      1  49        0         1
#> 88    18.37      1  47        0         0
#> 55.1  19.34      1  69        0         1
#> 134.1 17.81      1  47        1         0
#> 39.1  15.59      1  37        0         1
#> 58    19.34      1  39        0         0
#> 101.2  9.97      1  10        0         1
#> 24.1  23.89      1  38        0         0
#> 154.1 12.63      1  20        1         0
#> 139   21.49      1  63        1         0
#> 197.3 21.60      1  69        1         0
#> 183    9.24      1  67        1         0
#> 136   21.83      1  43        0         1
#> 130.1 16.47      1  53        0         1
#> 190   20.81      1  42        1         0
#> 14.1  12.89      1  21        0         0
#> 60.1  13.15      1  38        1         0
#> 168.1 23.72      1  70        0         0
#> 92    22.92      1  47        0         1
#> 197.4 21.60      1  69        1         0
#> 153.1 21.33      1  55        1         0
#> 43.1  12.10      1  61        0         1
#> 100   16.07      1  60        0         0
#> 60.2  13.15      1  38        1         0
#> 130.2 16.47      1  53        0         1
#> 123   13.00      1  44        1         0
#> 60.3  13.15      1  38        1         0
#> 68.1  20.62      1  44        0         0
#> 155   13.08      1  26        0         0
#> 6     15.64      1  39        0         0
#> 129.1 23.41      1  53        1         0
#> 52    10.42      1  52        0         1
#> 78.1  23.88      1  43        0         0
#> 183.1  9.24      1  67        1         0
#> 190.1 20.81      1  42        1         0
#> 18.2  15.21      1  49        1         0
#> 79.1  16.23      1  54        1         0
#> 10    10.53      1  34        0         0
#> 184.1 17.77      1  38        0         0
#> 197.5 21.60      1  69        1         0
#> 112   24.00      0  61        0         0
#> 119   24.00      0  17        0         0
#> 80    24.00      0  41        0         0
#> 118   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 178   24.00      0  52        1         0
#> 160   24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 143   24.00      0  51        0         0
#> 147   24.00      0  76        1         0
#> 185   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 7     24.00      0  37        1         0
#> 38    24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 65    24.00      0  57        1         0
#> 193   24.00      0  45        0         1
#> 27    24.00      0  63        1         0
#> 2     24.00      0   9        0         0
#> 84    24.00      0  39        0         1
#> 31    24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 44    24.00      0  56        0         0
#> 47    24.00      0  38        0         1
#> 109   24.00      0  48        0         0
#> 152   24.00      0  36        0         1
#> 46    24.00      0  71        0         0
#> 182.1 24.00      0  35        0         0
#> 121   24.00      0  57        1         0
#> 144   24.00      0  28        0         1
#> 64    24.00      0  43        0         0
#> 193.1 24.00      0  45        0         1
#> 148   24.00      0  61        1         0
#> 138   24.00      0  44        1         0
#> 27.1  24.00      0  63        1         0
#> 21    24.00      0  47        0         0
#> 112.1 24.00      0  61        0         0
#> 102   24.00      0  49        0         0
#> 53    24.00      0  32        0         1
#> 84.1  24.00      0  39        0         1
#> 54    24.00      0  53        1         0
#> 176.1 24.00      0  43        0         1
#> 71    24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 21.1  24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 115   24.00      0  NA        1         0
#> 141   24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 132.1 24.00      0  55        0         0
#> 193.2 24.00      0  45        0         1
#> 121.1 24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 138.1 24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 148.1 24.00      0  61        1         0
#> 17    24.00      0  38        0         1
#> 71.1  24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 112.2 24.00      0  61        0         0
#> 82    24.00      0  34        0         0
#> 28    24.00      0  67        1         0
#> 94    24.00      0  51        0         1
#> 163   24.00      0  66        0         0
#> 71.2  24.00      0  51        0         0
#> 7.1   24.00      0  37        1         0
#> 9     24.00      0  31        1         0
#> 126.1 24.00      0  48        0         0
#> 103   24.00      0  56        1         0
#> 12    24.00      0  63        0         0
#> 82.1  24.00      0  34        0         0
#> 112.3 24.00      0  61        0         0
#> 191   24.00      0  60        0         1
#> 161   24.00      0  45        0         0
#> 109.1 24.00      0  48        0         0
#> 178.1 24.00      0  52        1         0
#> 126.2 24.00      0  48        0         0
#> 20.1  24.00      0  46        1         0
#> 137   24.00      0  45        1         0
#> 44.1  24.00      0  56        0         0
#> 198   24.00      0  66        0         1
#> 2.1   24.00      0   9        0         0
#> 64.1  24.00      0  43        0         0
#> 198.1 24.00      0  66        0         1
#> 33    24.00      0  53        0         0
#> 9.1   24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.469          NA        NA      NA
#> 2 age, Cure model          0.00651        NA        NA      NA
#> 3 grade_ii, Cure model     0.448          NA        NA      NA
#> 4 grade_iii, Cure model    0.691          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0171        NA        NA      NA
#> 2 grade_ii, Survival model    0.589         NA        NA      NA
#> 3 grade_iii, Survival model   0.821         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.469398          0.006511          0.448186          0.690723  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 260.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.469397938      0.006511403      0.448186298      0.690722876 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01707941       0.58948024       0.82135278 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0609645567 0.7637263745 0.5461632852 0.2546734214 0.1363380044
#>   [6] 0.3657394884 0.0496773205 0.6056421577 0.0138174913 0.8639725432
#>  [11] 0.0188304515 0.1590075423 0.4764261813 0.4201423520 0.0003493298
#>  [16] 0.3657394884 0.2184371185 0.0609645567 0.4997637906 0.2837658622
#>  [21] 0.2546734214 0.7883204374 0.5227392787 0.9383118879 0.6298782023
#>  [26] 0.5935634622 0.3344732228 0.9020538046 0.0023677047 0.0443483780
#>  [31] 0.3240039027 0.4312971330 0.8639725432 0.2452173499 0.1590075423
#>  [36] 0.1590075423 0.1151802226 0.4536413398 0.8893268781 0.3550607287
#>  [41] 0.5814120811 0.2184371185 0.5227392787 0.2184371185 0.6177078200
#>  [46] 0.3035665251 0.0288466843 0.9875801988 0.3875994388 0.2094097138
#>  [51] 0.1511762367 0.7266317459 0.0064210478 0.7019654628 0.1835805822
#>  [56] 0.9020538046 0.0389803716 0.8258402401 0.9751933396 0.1014017620
#>  [61] 0.5461632852 0.7391445840 0.3344732228 0.8008411165 0.0609645567
#>  [66] 0.7637263745 0.2738224528 0.1835805822 0.2837658622 0.4997637906
#>  [71] 0.1835805822 0.9020538046 0.0003493298 0.7391445840 0.0945474893
#>  [76] 0.0609645567 0.9505688213 0.0553467997 0.3875994388 0.1223072326
#>  [81] 0.7019654628 0.6298782023 0.0064210478 0.0339199176 0.0609645567
#>  [86] 0.1014017620 0.8008411165 0.4649442807 0.6298782023 0.3875994388
#>  [91] 0.6896536292 0.6298782023 0.1363380044 0.6773745875 0.4880271466
#>  [96] 0.0188304515 0.8512253494 0.0023677047 0.9505688213 0.1223072326
#> [101] 0.5461632852 0.4312971330 0.8384904777 0.3035665251 0.0609645567
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000
#> 
#> $Time
#>   197    42    18     8    68    23    15    57   164    93   129   105   125 
#> 21.60 12.43 15.21 18.43 20.62 16.92 22.68 14.46 23.60 10.33 23.41 19.75 15.65 
#>     5    24  23.1    97 197.1    39   134   8.1    56    29   187    60    96 
#> 16.43 23.89 16.92 19.14 21.60 15.59 17.81 18.43 12.21 15.45  9.92 13.15 14.54 
#>   111   101    78    63   110    79  93.1   179 105.1 105.2    32   188    61 
#> 17.45  9.97 23.88 22.77 17.56 16.23 10.33 18.63 19.75 19.75 20.90 16.16 10.12 
#>    30   133  97.1  29.1  97.2    81   184    69   127   130    76   166   140 
#> 17.43 14.65 19.14 15.45 19.14 14.06 17.77 23.23  3.53 16.47 19.22 19.98 12.68 
#>   168    14    55 101.1   113   107   149   153  18.1   154 111.1    43 197.2 
#> 23.72 12.89 19.34  9.97 22.86 11.18  8.37 21.33 15.21 12.63 17.45 12.10 21.60 
#>  42.1    88  55.1 134.1  39.1    58 101.2  24.1 154.1   139 197.3   183   136 
#> 12.43 18.37 19.34 17.81 15.59 19.34  9.97 23.89 12.63 21.49 21.60  9.24 21.83 
#> 130.1   190  14.1  60.1 168.1    92 197.4 153.1  43.1   100  60.2 130.2   123 
#> 16.47 20.81 12.89 13.15 23.72 22.92 21.60 21.33 12.10 16.07 13.15 16.47 13.00 
#>  60.3  68.1   155     6 129.1    52  78.1 183.1 190.1  18.2  79.1    10 184.1 
#> 13.15 20.62 13.08 15.64 23.41 10.42 23.88  9.24 20.81 15.21 16.23 10.53 17.77 
#> 197.5   112   119    80   118    98   178   160   176   143   147   185   120 
#> 21.60 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132     7    38   182    65   193    27     2    84    31    34    44    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109   152    46 182.1   121   144    64 193.1   148   138  27.1    21 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102    53  84.1    54 176.1    71   131  21.1    72   141   172 132.1 193.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.1    20 138.1   126 148.1    17  71.1    67 112.2    82    28    94   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.2   7.1     9 126.1   103    12  82.1 112.3   191   161 109.1 178.1 126.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1   137  44.1   198   2.1  64.1 198.1    33   9.1    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[3]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01414053                0.63570025                0.65302588 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.340649475            -0.006238602            -0.137803131 
#>   grade_iii, Cure model 
#>             0.591989145 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 130   16.47      1  53        0         1
#> 101    9.97      1  10        0         1
#> 187    9.92      1  39        1         0
#> 86    23.81      1  58        0         1
#> 45    17.42      1  54        0         1
#> 150   20.33      1  48        0         0
#> 96    14.54      1  33        0         1
#> 101.1  9.97      1  10        0         1
#> 26    15.77      1  49        0         1
#> 164   23.60      1  76        0         1
#> 45.1  17.42      1  54        0         1
#> 125   15.65      1  67        1         0
#> 55    19.34      1  69        0         1
#> 155   13.08      1  26        0         0
#> 63    22.77      1  31        1         0
#> 107   11.18      1  54        1         0
#> 124    9.73      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 25     6.32      1  34        1         0
#> 70     7.38      1  30        1         0
#> 187.1  9.92      1  39        1         0
#> 60    13.15      1  38        1         0
#> 180   14.82      1  37        0         0
#> 88    18.37      1  47        0         0
#> 128   20.35      1  35        0         1
#> 189   10.51      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 49    12.19      1  48        1         0
#> 127    3.53      1  62        0         1
#> 6     15.64      1  39        0         0
#> 29    15.45      1  68        1         0
#> 99    21.19      1  38        0         1
#> 192   16.44      1  31        1         0
#> 5     16.43      1  51        0         1
#> 101.2  9.97      1  10        0         1
#> 140   12.68      1  59        1         0
#> 111   17.45      1  47        0         1
#> 169   22.41      1  46        0         0
#> 5.1   16.43      1  51        0         1
#> 77     7.27      1  67        0         1
#> 18    15.21      1  49        1         0
#> 90    20.94      1  50        0         1
#> 45.2  17.42      1  54        0         1
#> 36    21.19      1  48        0         1
#> 167   15.55      1  56        1         0
#> 168   23.72      1  70        0         0
#> 78    23.88      1  43        0         0
#> 79    16.23      1  54        1         0
#> 155.1 13.08      1  26        0         0
#> 153   21.33      1  55        1         0
#> 150.1 20.33      1  48        0         0
#> 181   16.46      1  45        0         1
#> 45.3  17.42      1  54        0         1
#> 16     8.71      1  71        0         1
#> 15    22.68      1  48        0         0
#> 52    10.42      1  52        0         1
#> 76    19.22      1  54        0         1
#> 61    10.12      1  36        0         1
#> 76.1  19.22      1  54        0         1
#> 63.1  22.77      1  31        1         0
#> 4     17.64      1  NA        0         1
#> 111.1 17.45      1  47        0         1
#> 42    12.43      1  49        0         1
#> 60.1  13.15      1  38        1         0
#> 13    14.34      1  54        0         1
#> 13.1  14.34      1  54        0         1
#> 184   17.77      1  38        0         0
#> 124.1  9.73      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 18.1  15.21      1  49        1         0
#> 24    23.89      1  38        0         0
#> 43    12.10      1  61        0         1
#> 59    10.16      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 61.1  10.12      1  36        0         1
#> 175   21.91      1  43        0         0
#> 101.3  9.97      1  10        0         1
#> 6.1   15.64      1  39        0         0
#> 51.1  18.23      1  83        0         1
#> 136   21.83      1  43        0         1
#> 105   19.75      1  60        0         0
#> 179   18.63      1  42        0         0
#> 15.1  22.68      1  48        0         0
#> 56    12.21      1  60        0         0
#> 154   12.63      1  20        1         0
#> 149    8.37      1  33        1         0
#> 6.2   15.64      1  39        0         0
#> 63.2  22.77      1  31        1         0
#> 50    10.02      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 99.1  21.19      1  38        0         1
#> 187.2  9.92      1  39        1         0
#> 139   21.49      1  63        1         0
#> 90.1  20.94      1  50        0         1
#> 197   21.60      1  69        1         0
#> 76.2  19.22      1  54        0         1
#> 81    14.06      1  34        0         0
#> 41    18.02      1  40        1         0
#> 88.1  18.37      1  47        0         0
#> 42.1  12.43      1  49        0         1
#> 149.1  8.37      1  33        1         0
#> 197.1 21.60      1  69        1         0
#> 85    16.44      1  36        0         0
#> 197.2 21.60      1  69        1         0
#> 133   14.65      1  57        0         0
#> 60.2  13.15      1  38        1         0
#> 51.2  18.23      1  83        0         1
#> 66    22.13      1  53        0         0
#> 166   19.98      1  48        0         0
#> 139.1 21.49      1  63        1         0
#> 117   17.46      1  26        0         1
#> 39    15.59      1  37        0         1
#> 142   24.00      0  53        0         0
#> 131   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 163   24.00      0  66        0         0
#> 115   24.00      0  NA        1         0
#> 28    24.00      0  67        1         0
#> 186   24.00      0  45        1         0
#> 3     24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 47    24.00      0  38        0         1
#> 163.1 24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 38    24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 74    24.00      0  43        0         1
#> 156   24.00      0  50        1         0
#> 31    24.00      0  36        0         1
#> 122   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 200   24.00      0  64        0         0
#> 174   24.00      0  49        1         0
#> 102.1 24.00      0  49        0         0
#> 46    24.00      0  71        0         0
#> 54    24.00      0  53        1         0
#> 103   24.00      0  56        1         0
#> 151   24.00      0  42        0         0
#> 28.1  24.00      0  67        1         0
#> 54.1  24.00      0  53        1         0
#> 48    24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 94    24.00      0  51        0         1
#> 142.1 24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 38.1  24.00      0  31        1         0
#> 186.1 24.00      0  45        1         0
#> 122.1 24.00      0  66        0         0
#> 47.1  24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 151.1 24.00      0  42        0         0
#> 19.1  24.00      0  57        0         1
#> 46.1  24.00      0  71        0         0
#> 28.2  24.00      0  67        1         0
#> 193   24.00      0  45        0         1
#> 116   24.00      0  58        0         1
#> 98    24.00      0  34        1         0
#> 200.1 24.00      0  64        0         0
#> 1.1   24.00      0  23        1         0
#> 80    24.00      0  41        0         0
#> 131.1 24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 120.1 24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 28.3  24.00      0  67        1         0
#> 74.1  24.00      0  43        0         1
#> 144   24.00      0  28        0         1
#> 47.2  24.00      0  38        0         1
#> 62    24.00      0  71        0         0
#> 83    24.00      0   6        0         0
#> 80.1  24.00      0  41        0         0
#> 17    24.00      0  38        0         1
#> 48.1  24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 138   24.00      0  44        1         0
#> 118.1 24.00      0  44        1         0
#> 138.1 24.00      0  44        1         0
#> 54.2  24.00      0  53        1         0
#> 11    24.00      0  42        0         1
#> 1.2   24.00      0  23        1         0
#> 193.1 24.00      0  45        0         1
#> 120.2 24.00      0  68        0         1
#> 185   24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 72.1  24.00      0  40        0         1
#> 27    24.00      0  63        1         0
#> 147.1 24.00      0  76        1         0
#> 21.1  24.00      0  47        0         0
#> 132.1 24.00      0  55        0         0
#> 148   24.00      0  61        1         0
#> 174.1 24.00      0  49        1         0
#> 191   24.00      0  60        0         1
#> 74.2  24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.341          NA        NA      NA
#> 2 age, Cure model         -0.00624        NA        NA      NA
#> 3 grade_ii, Cure model    -0.138          NA        NA      NA
#> 4 grade_iii, Cure model    0.592          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0141        NA        NA      NA
#> 2 grade_ii, Survival model    0.636         NA        NA      NA
#> 3 grade_iii, Survival model   0.653         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.340649         -0.006239         -0.137803          0.591989  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 260.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.340649475     -0.006238602     -0.137803131      0.591989145 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01414053       0.63570025       0.65302588 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.4159156412 0.8388000081 0.8813984114 0.0063546290 0.3663435730
#>   [6] 0.1806571465 0.6168548336 0.8388000081 0.4882472300 0.0161470572
#>  [11] 0.3663435730 0.4987041818 0.2148410686 0.6935602234 0.0296954212
#>  [16] 0.7938725262 0.4055793068 0.9783467644 0.9567080004 0.8813984114
#>  [21] 0.6609118060 0.5948540645 0.2592812010 0.1725256479 0.0225290118
#>  [26] 0.7713708957 0.9891615060 0.5092201923 0.5624805150 0.1332596499
#>  [31] 0.4366314402 0.4571846393 0.8388000081 0.7157159330 0.3366656235
#>  [36] 0.0570892573 0.4571846393 0.9675119550 0.5733250976 0.1565199664
#>  [41] 0.3663435730 0.1332596499 0.5516937709 0.0105440476 0.0026201217
#>  [46] 0.4777990306 0.6935602234 0.1248956208 0.1806571465 0.4262756538
#>  [51] 0.3663435730 0.9242845135 0.0448513103 0.8051578597 0.2238337745
#>  [56] 0.8164557036 0.2238337745 0.0296954212 0.3366656235 0.7380362348
#>  [61] 0.6609118060 0.6278700418 0.6278700418 0.3167182633 0.3562333751
#>  [66] 0.5733250976 0.0004732043 0.7826064212 0.2780249270 0.8164557036
#>  [71] 0.0712229123 0.8388000081 0.5092201923 0.2780249270 0.0788509202
#>  [76] 0.2059510262 0.2500634117 0.0448513103 0.7601422637 0.7269123344
#>  [81] 0.9351651322 0.5092201923 0.0296954212 0.9134416754 0.1332596499
#>  [86] 0.8813984114 0.1088652359 0.1565199664 0.0864457226 0.2238337745
#>  [91] 0.6497870657 0.3068245116 0.2592812010 0.7380362348 0.9351651322
#>  [96] 0.0864457226 0.4366314402 0.0864457226 0.6057991820 0.6609118060
#> [101] 0.2780249270 0.0639501536 0.1972751898 0.1088652359 0.3267421985
#> [106] 0.5409374401 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   130   101   187    86    45   150    96 101.1    26   164  45.1   125    55 
#> 16.47  9.97  9.92 23.81 17.42 20.33 14.54  9.97 15.77 23.60 17.42 15.65 19.34 
#>   155    63   107    23    25    70 187.1    60   180    88   128   113    49 
#> 13.08 22.77 11.18 16.92  6.32  7.38  9.92 13.15 14.82 18.37 20.35 22.86 12.19 
#>   127     6    29    99   192     5 101.2   140   111   169   5.1    77    18 
#>  3.53 15.64 15.45 21.19 16.44 16.43  9.97 12.68 17.45 22.41 16.43  7.27 15.21 
#>    90  45.2    36   167   168    78    79 155.1   153 150.1   181  45.3    16 
#> 20.94 17.42 21.19 15.55 23.72 23.88 16.23 13.08 21.33 20.33 16.46 17.42  8.71 
#>    15    52    76    61  76.1  63.1 111.1    42  60.1    13  13.1   184    30 
#> 22.68 10.42 19.22 10.12 19.22 22.77 17.45 12.43 13.15 14.34 14.34 17.77 17.43 
#>  18.1    24    43    51  61.1   175 101.3   6.1  51.1   136   105   179  15.1 
#> 15.21 23.89 12.10 18.23 10.12 21.91  9.97 15.64 18.23 21.83 19.75 18.63 22.68 
#>    56   154   149   6.2  63.2   183  99.1 187.2   139  90.1   197  76.2    81 
#> 12.21 12.63  8.37 15.64 22.77  9.24 21.19  9.92 21.49 20.94 21.60 19.22 14.06 
#>    41  88.1  42.1 149.1 197.1    85 197.2   133  60.2  51.2    66   166 139.1 
#> 18.02 18.37 12.43  8.37 21.60 16.44 21.60 14.65 13.15 18.23 22.13 19.98 21.49 
#>   117    39   142   131    19   163    28   186     3   102    47 163.1   120 
#> 17.46 15.59 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38     7    74   156    31   122    21    72   200   174 102.1    46    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   151  28.1  54.1    48     1    94 142.1    95   119  38.1 186.1 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1   141   118   132 151.1  19.1  46.1  28.2   193   116    98 200.1   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80 131.1   147 120.1    53  28.3  74.1   144  47.2    62    83  80.1    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1   178   109     9   182   138 118.1 138.1  54.2    11   1.2 193.1 120.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   172  72.1    27 147.1  21.1 132.1   148 174.1   191  74.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[4]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.00916749                0.67781906                0.48504691 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            0.0227423391           -0.0004727542            0.1098464406 
#>   grade_iii, Cure model 
#>            0.5119416273 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 77     7.27      1  67        0         1
#> 96    14.54      1  33        0         1
#> 88    18.37      1  47        0         0
#> 106   16.67      1  49        1         0
#> 60    13.15      1  38        1         0
#> 170   19.54      1  43        0         1
#> 69    23.23      1  25        0         1
#> 169   22.41      1  46        0         0
#> 89    11.44      1  NA        0         0
#> 99    21.19      1  38        0         1
#> 16     8.71      1  71        0         1
#> 154   12.63      1  20        1         0
#> 170.1 19.54      1  43        0         1
#> 197   21.60      1  69        1         0
#> 24    23.89      1  38        0         0
#> 4     17.64      1  NA        0         1
#> 179   18.63      1  42        0         0
#> 155   13.08      1  26        0         0
#> 13    14.34      1  54        0         1
#> 58    19.34      1  39        0         0
#> 36    21.19      1  48        0         1
#> 30    17.43      1  78        0         0
#> 6     15.64      1  39        0         0
#> 15    22.68      1  48        0         0
#> 78    23.88      1  43        0         0
#> 66    22.13      1  53        0         0
#> 42    12.43      1  49        0         1
#> 90    20.94      1  50        0         1
#> 169.1 22.41      1  46        0         0
#> 15.1  22.68      1  48        0         0
#> 51    18.23      1  83        0         1
#> 43    12.10      1  61        0         1
#> 169.2 22.41      1  46        0         0
#> 63    22.77      1  31        1         0
#> 16.1   8.71      1  71        0         1
#> 123   13.00      1  44        1         0
#> 69.1  23.23      1  25        0         1
#> 66.1  22.13      1  53        0         0
#> 49    12.19      1  48        1         0
#> 10    10.53      1  34        0         0
#> 139   21.49      1  63        1         0
#> 195   11.76      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 51.1  18.23      1  83        0         1
#> 59    10.16      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 16.2   8.71      1  71        0         1
#> 30.1  17.43      1  78        0         0
#> 168   23.72      1  70        0         0
#> 8.1   18.43      1  32        0         0
#> 134   17.81      1  47        1         0
#> 106.1 16.67      1  49        1         0
#> 153   21.33      1  55        1         0
#> 145   10.07      1  65        1         0
#> 153.1 21.33      1  55        1         0
#> 123.1 13.00      1  44        1         0
#> 125   15.65      1  67        1         0
#> 69.2  23.23      1  25        0         1
#> 68    20.62      1  44        0         0
#> 25     6.32      1  34        1         0
#> 5     16.43      1  51        0         1
#> 18    15.21      1  49        1         0
#> 51.2  18.23      1  83        0         1
#> 86    23.81      1  58        0         1
#> 108   18.29      1  39        0         1
#> 179.1 18.63      1  42        0         0
#> 181   16.46      1  45        0         1
#> 159   10.55      1  50        0         1
#> 110   17.56      1  65        0         1
#> 15.2  22.68      1  48        0         0
#> 139.1 21.49      1  63        1         0
#> 134.1 17.81      1  47        1         0
#> 63.1  22.77      1  31        1         0
#> 111   17.45      1  47        0         1
#> 4.1   17.64      1  NA        0         1
#> 88.1  18.37      1  47        0         0
#> 155.1 13.08      1  26        0         0
#> 166   19.98      1  48        0         0
#> 5.1   16.43      1  51        0         1
#> 168.1 23.72      1  70        0         0
#> 195.1 11.76      1  NA        1         0
#> 197.1 21.60      1  69        1         0
#> 91     5.33      1  61        0         1
#> 43.1  12.10      1  61        0         1
#> 70     7.38      1  30        1         0
#> 108.1 18.29      1  39        0         1
#> 199   19.81      1  NA        0         1
#> 195.2 11.76      1  NA        1         0
#> 181.1 16.46      1  45        0         1
#> 136   21.83      1  43        0         1
#> 24.1  23.89      1  38        0         0
#> 145.1 10.07      1  65        1         0
#> 49.1  12.19      1  48        1         0
#> 86.1  23.81      1  58        0         1
#> 154.1 12.63      1  20        1         0
#> 69.3  23.23      1  25        0         1
#> 85    16.44      1  36        0         0
#> 123.2 13.00      1  44        1         0
#> 108.2 18.29      1  39        0         1
#> 4.2   17.64      1  NA        0         1
#> 107   11.18      1  54        1         0
#> 13.1  14.34      1  54        0         1
#> 199.1 19.81      1  NA        0         1
#> 106.2 16.67      1  49        1         0
#> 85.1  16.44      1  36        0         0
#> 188   16.16      1  46        0         1
#> 56    12.21      1  60        0         0
#> 105   19.75      1  60        0         0
#> 97.1  19.14      1  65        0         1
#> 129   23.41      1  53        1         0
#> 177   12.53      1  75        0         0
#> 99.1  21.19      1  38        0         1
#> 64    24.00      0  43        0         0
#> 27    24.00      0  63        1         0
#> 12    24.00      0  63        0         0
#> 17    24.00      0  38        0         1
#> 22    24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 17.1  24.00      0  38        0         1
#> 84.1  24.00      0  39        0         1
#> 22.1  24.00      0  52        1         0
#> 112   24.00      0  61        0         0
#> 38    24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 65    24.00      0  57        1         0
#> 71    24.00      0  51        0         0
#> 147   24.00      0  76        1         0
#> 17.2  24.00      0  38        0         1
#> 156   24.00      0  50        1         0
#> 126   24.00      0  48        0         0
#> 126.1 24.00      0  48        0         0
#> 94    24.00      0  51        0         1
#> 173   24.00      0  19        0         1
#> 94.1  24.00      0  51        0         1
#> 67    24.00      0  25        0         0
#> 172   24.00      0  41        0         0
#> 165   24.00      0  47        0         0
#> 196   24.00      0  19        0         0
#> 146   24.00      0  63        1         0
#> 62    24.00      0  71        0         0
#> 73    24.00      0  NA        0         1
#> 34    24.00      0  36        0         0
#> 34.1  24.00      0  36        0         0
#> 1     24.00      0  23        1         0
#> 193   24.00      0  45        0         1
#> 103   24.00      0  56        1         0
#> 160   24.00      0  31        1         0
#> 71.1  24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 156.1 24.00      0  50        1         0
#> 12.1  24.00      0  63        0         0
#> 72    24.00      0  40        0         1
#> 31    24.00      0  36        0         1
#> 148   24.00      0  61        1         0
#> 198   24.00      0  66        0         1
#> 73.1  24.00      0  NA        0         1
#> 67.1  24.00      0  25        0         0
#> 95    24.00      0  68        0         1
#> 38.1  24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 54    24.00      0  53        1         0
#> 95.1  24.00      0  68        0         1
#> 109   24.00      0  48        0         0
#> 27.1  24.00      0  63        1         0
#> 174   24.00      0  49        1         0
#> 11    24.00      0  42        0         1
#> 54.1  24.00      0  53        1         0
#> 163   24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 182   24.00      0  35        0         0
#> 191   24.00      0  60        0         1
#> 162   24.00      0  51        0         0
#> 62.1  24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 112.1 24.00      0  61        0         0
#> 116.1 24.00      0  58        0         1
#> 172.1 24.00      0  41        0         0
#> 20    24.00      0  46        1         0
#> 54.2  24.00      0  53        1         0
#> 115   24.00      0  NA        1         0
#> 163.1 24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 148.1 24.00      0  61        1         0
#> 73.2  24.00      0  NA        0         1
#> 173.1 24.00      0  19        0         1
#> 22.2  24.00      0  52        1         0
#> 131   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 116.2 24.00      0  58        0         1
#> 163.2 24.00      0  66        0         0
#> 116.3 24.00      0  58        0         1
#> 143   24.00      0  51        0         0
#> 22.3  24.00      0  52        1         0
#> 200   24.00      0  64        0         0
#> 21    24.00      0  47        0         0
#> 120   24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 160.1 24.00      0  31        1         0
#> 196.1 24.00      0  19        0         0
#> 115.1 24.00      0  NA        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0227          NA        NA      NA
#> 2 age, Cure model         -0.000473        NA        NA      NA
#> 3 grade_ii, Cure model     0.110           NA        NA      NA
#> 4 grade_iii, Cure model    0.512           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00917        NA        NA      NA
#> 2 grade_ii, Survival model   0.678          NA        NA      NA
#> 3 grade_iii, Survival model  0.485          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        0.0227423        -0.0004728         0.1098464         0.5119416  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    254.5 
#> Residual Deviance: 252.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     0.0227423391    -0.0004727542     0.1098464406     0.5119416273 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.00916749       0.67781906       0.48504691 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.98776243 0.86366942 0.70436764 0.79341344 0.87878684 0.63877009
#>   [7] 0.33314791 0.45510580 0.58251014 0.97115984 0.90793180 0.63877009
#>  [13] 0.52608635 0.08666096 0.67590630 0.88375196 0.86878376 0.65390742
#>  [19] 0.58251014 0.78169475 0.85330237 0.41762858 0.17553615 0.49103353
#>  [25] 0.92206167 0.60687171 0.45510580 0.41762858 0.73855892 0.94046213
#>  [31] 0.45510580 0.39091045 0.97115984 0.89362454 0.33314791 0.49103353
#>  [37] 0.93137519 0.95821427 0.54649132 0.69018698 0.73855892 0.66148250
#>  [43] 0.97115984 0.78169475 0.27114378 0.69018698 0.75744502 0.79341344
#>  [49] 0.56514860 0.96260292 0.56514860 0.89362454 0.84807246 0.33314791
#>  [55] 0.61493187 0.99187084 0.83205725 0.85851855 0.73855892 0.22129653
#>  [61] 0.71839620 0.67590630 0.81015541 0.95381826 0.76967421 0.41762858
#>  [67] 0.54649132 0.75744502 0.39091045 0.77571938 0.70436764 0.88375196
#>  [73] 0.62293989 0.83205725 0.27114378 0.52608635 0.99595069 0.94046213
#>  [79] 0.98361953 0.71839620 0.81015541 0.51456072 0.08666096 0.96260292
#>  [85] 0.93137519 0.22129653 0.90793180 0.33314791 0.82113488 0.89362454
#>  [91] 0.71839620 0.94939023 0.86878376 0.79341344 0.82113488 0.84275598
#>  [97] 0.92672701 0.63089140 0.66148250 0.31394779 0.91735957 0.58251014
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    77    96    88   106    60   170    69   169    99    16   154 170.1   197 
#>  7.27 14.54 18.37 16.67 13.15 19.54 23.23 22.41 21.19  8.71 12.63 19.54 21.60 
#>    24   179   155    13    58    36    30     6    15    78    66    42    90 
#> 23.89 18.63 13.08 14.34 19.34 21.19 17.43 15.64 22.68 23.88 22.13 12.43 20.94 
#> 169.1  15.1    51    43 169.2    63  16.1   123  69.1  66.1    49    10   139 
#> 22.41 22.68 18.23 12.10 22.41 22.77  8.71 13.00 23.23 22.13 12.19 10.53 21.49 
#>     8  51.1    97  16.2  30.1   168   8.1   134 106.1   153   145 153.1 123.1 
#> 18.43 18.23 19.14  8.71 17.43 23.72 18.43 17.81 16.67 21.33 10.07 21.33 13.00 
#>   125  69.2    68    25     5    18  51.2    86   108 179.1   181   159   110 
#> 15.65 23.23 20.62  6.32 16.43 15.21 18.23 23.81 18.29 18.63 16.46 10.55 17.56 
#>  15.2 139.1 134.1  63.1   111  88.1 155.1   166   5.1 168.1 197.1    91  43.1 
#> 22.68 21.49 17.81 22.77 17.45 18.37 13.08 19.98 16.43 23.72 21.60  5.33 12.10 
#>    70 108.1 181.1   136  24.1 145.1  49.1  86.1 154.1  69.3    85 123.2 108.2 
#>  7.38 18.29 16.46 21.83 23.89 10.07 12.19 23.81 12.63 23.23 16.44 13.00 18.29 
#>   107  13.1 106.2  85.1   188    56   105  97.1   129   177  99.1    64    27 
#> 11.18 14.34 16.67 16.44 16.16 12.21 19.75 19.14 23.41 12.53 21.19 24.00 24.00 
#>    12    17    22    84  17.1  84.1  22.1   112    38    28    65    71   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.2   156   126 126.1    94   173  94.1    67   172   165   196   146    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34  34.1     1   193   103   160  71.1    47 156.1  12.1    72    31   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198  67.1    95  38.1 198.1    54  95.1   109  27.1   174    11  54.1   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116   182   191   162  62.1   132 112.1 116.1 172.1    20  54.2 163.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1 173.1  22.2   131   161 116.2 163.2 116.3   143  22.3   200    21   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186 160.1 196.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[5]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001035228               0.602189848               0.395185913 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.304540150             0.006515589            -0.121646511 
#>   grade_iii, Cure model 
#>             0.732650235 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 18    15.21      1  49        1         0
#> 68    20.62      1  44        0         0
#> 101    9.97      1  10        0         1
#> 88    18.37      1  47        0         0
#> 18.1  15.21      1  49        1         0
#> 179   18.63      1  42        0         0
#> 18.2  15.21      1  49        1         0
#> 177   12.53      1  75        0         0
#> 55    19.34      1  69        0         1
#> 76    19.22      1  54        0         1
#> 66    22.13      1  53        0         0
#> 39    15.59      1  37        0         1
#> 70     7.38      1  30        1         0
#> 52    10.42      1  52        0         1
#> 16     8.71      1  71        0         1
#> 66.1  22.13      1  53        0         0
#> 43    12.10      1  61        0         1
#> 43.1  12.10      1  61        0         1
#> 105   19.75      1  60        0         0
#> 70.1   7.38      1  30        1         0
#> 55.1  19.34      1  69        0         1
#> 13    14.34      1  54        0         1
#> 184   17.77      1  38        0         0
#> 42    12.43      1  49        0         1
#> 66.2  22.13      1  53        0         0
#> 128   20.35      1  35        0         1
#> 159   10.55      1  50        0         1
#> 180   14.82      1  37        0         0
#> 39.1  15.59      1  37        0         1
#> 145   10.07      1  65        1         0
#> 25     6.32      1  34        1         0
#> 199   19.81      1  NA        0         1
#> 139   21.49      1  63        1         0
#> 66.3  22.13      1  53        0         0
#> 180.1 14.82      1  37        0         0
#> 79    16.23      1  54        1         0
#> 6     15.64      1  39        0         0
#> 60    13.15      1  38        1         0
#> 166   19.98      1  48        0         0
#> 70.2   7.38      1  30        1         0
#> 49    12.19      1  48        1         0
#> 10    10.53      1  34        0         0
#> 108   18.29      1  39        0         1
#> 110   17.56      1  65        0         1
#> 89    11.44      1  NA        0         0
#> 159.1 10.55      1  50        0         1
#> 177.1 12.53      1  75        0         0
#> 15    22.68      1  48        0         0
#> 6.1   15.64      1  39        0         0
#> 107   11.18      1  54        1         0
#> 145.1 10.07      1  65        1         0
#> 29    15.45      1  68        1         0
#> 145.2 10.07      1  65        1         0
#> 6.2   15.64      1  39        0         0
#> 26    15.77      1  49        0         1
#> 36    21.19      1  48        0         1
#> 187    9.92      1  39        1         0
#> 96    14.54      1  33        0         1
#> 159.2 10.55      1  50        0         1
#> 10.1  10.53      1  34        0         0
#> 37    12.52      1  57        1         0
#> 50    10.02      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 139.1 21.49      1  63        1         0
#> 127    3.53      1  62        0         1
#> 29.1  15.45      1  68        1         0
#> 69    23.23      1  25        0         1
#> 68.1  20.62      1  44        0         0
#> 69.1  23.23      1  25        0         1
#> 194.1 22.40      1  38        0         1
#> 188   16.16      1  46        0         1
#> 189   10.51      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 15.1  22.68      1  48        0         0
#> 59    10.16      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 108.1 18.29      1  39        0         1
#> 18.3  15.21      1  49        1         0
#> 70.3   7.38      1  30        1         0
#> 90    20.94      1  50        0         1
#> 91     5.33      1  61        0         1
#> 139.2 21.49      1  63        1         0
#> 101.1  9.97      1  10        0         1
#> 96.1  14.54      1  33        0         1
#> 78    23.88      1  43        0         0
#> 59.1  10.16      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 69.2  23.23      1  25        0         1
#> 79.1  16.23      1  54        1         0
#> 197   21.60      1  69        1         0
#> 110.1 17.56      1  65        0         1
#> 63    22.77      1  31        1         0
#> 187.1  9.92      1  39        1         0
#> 149    8.37      1  33        1         0
#> 167   15.55      1  56        1         0
#> 88.1  18.37      1  47        0         0
#> 101.2  9.97      1  10        0         1
#> 158   20.14      1  74        1         0
#> 175   21.91      1  43        0         0
#> 136   21.83      1  43        0         1
#> 41    18.02      1  40        1         0
#> 169   22.41      1  46        0         0
#> 108.2 18.29      1  39        0         1
#> 114   13.68      1  NA        0         0
#> 189.1 10.51      1  NA        1         0
#> 179.1 18.63      1  42        0         0
#> 129   23.41      1  53        1         0
#> 70.4   7.38      1  30        1         0
#> 124    9.73      1  NA        1         0
#> 139.3 21.49      1  63        1         0
#> 8     18.43      1  32        0         0
#> 91.1   5.33      1  61        0         1
#> 193   24.00      0  45        0         1
#> 98    24.00      0  34        1         0
#> 135   24.00      0  58        1         0
#> 122   24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 176   24.00      0  43        0         1
#> 98.1  24.00      0  34        1         0
#> 75    24.00      0  21        1         0
#> 47    24.00      0  38        0         1
#> 104   24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 83    24.00      0   6        0         0
#> 34    24.00      0  36        0         0
#> 148   24.00      0  61        1         0
#> 137   24.00      0  45        1         0
#> 132   24.00      0  55        0         0
#> 112   24.00      0  61        0         0
#> 48    24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 104.1 24.00      0  50        1         0
#> 104.2 24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 176.1 24.00      0  43        0         1
#> 11    24.00      0  42        0         1
#> 147.1 24.00      0  76        1         0
#> 118   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 34.1  24.00      0  36        0         0
#> 138   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 144   24.00      0  28        0         1
#> 131   24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 162.1 24.00      0  51        0         0
#> 120.1 24.00      0  68        0         1
#> 98.2  24.00      0  34        1         0
#> 196   24.00      0  19        0         0
#> 75.1  24.00      0  21        1         0
#> 148.1 24.00      0  61        1         0
#> 38.1  24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 53.1  24.00      0  32        0         1
#> 44    24.00      0  56        0         0
#> 115   24.00      0  NA        1         0
#> 21    24.00      0  47        0         0
#> 122.1 24.00      0  66        0         0
#> 31    24.00      0  36        0         1
#> 138.1 24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 19    24.00      0  57        0         1
#> 185   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 122.2 24.00      0  66        0         0
#> 162.2 24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 186   24.00      0  45        1         0
#> 64    24.00      0  43        0         0
#> 178   24.00      0  52        1         0
#> 7.1   24.00      0  37        1         0
#> 67    24.00      0  25        0         0
#> 94    24.00      0  51        0         1
#> 46    24.00      0  71        0         0
#> 104.3 24.00      0  50        1         0
#> 137.1 24.00      0  45        1         0
#> 142   24.00      0  53        0         0
#> 118.1 24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 186.1 24.00      0  45        1         0
#> 83.1  24.00      0   6        0         0
#> 28    24.00      0  67        1         0
#> 46.1  24.00      0  71        0         0
#> 48.1  24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 135.1 24.00      0  58        1         0
#> 191   24.00      0  60        0         1
#> 132.1 24.00      0  55        0         0
#> 65.1  24.00      0  57        1         0
#> 47.1  24.00      0  38        0         1
#> 147.2 24.00      0  76        1         0
#> 21.1  24.00      0  47        0         0
#> 11.1  24.00      0  42        0         1
#> 11.2  24.00      0  42        0         1
#> 135.2 24.00      0  58        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.305          NA        NA      NA
#> 2 age, Cure model          0.00652        NA        NA      NA
#> 3 grade_ii, Cure model    -0.122          NA        NA      NA
#> 4 grade_iii, Cure model    0.733          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00104        NA        NA      NA
#> 2 grade_ii, Survival model   0.602          NA        NA      NA
#> 3 grade_iii, Survival model  0.395          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.304540          0.006516         -0.121647          0.732650  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 255.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.304540150      0.006515589     -0.121646511      0.732650235 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001035228      0.602189848      0.395185913 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.69884937 0.37293146 0.89591087 0.49974782 0.69884937 0.47137372
#>   [7] 0.69884937 0.77464248 0.43346358 0.46183110 0.22260013 0.65815452
#>  [13] 0.94285571 0.86838869 0.92953448 0.22260013 0.81164856 0.81164856
#>  [19] 0.42352096 0.94285571 0.43346358 0.75958591 0.55479902 0.79695377
#>  [25] 0.22260013 0.39337865 0.83324675 0.72915277 0.65815452 0.87542837
#>  [31] 0.97461494 0.31091704 0.22260013 0.72915277 0.59921593 0.63319890
#>  [37] 0.76714741 0.41356338 0.94285571 0.80433201 0.85430192 0.51856241
#>  [43] 0.56386443 0.83324675 0.77464248 0.15214733 0.63319890 0.82606527
#>  [49] 0.87542837 0.68288518 0.87542837 0.63319890 0.62475477 0.35197179
#>  [55] 0.91616186 0.74445272 0.83324675 0.85430192 0.78953695 0.19592776
#>  [61] 0.31091704 0.99367338 0.68288518 0.09194794 0.37293146 0.09194794
#>  [67] 0.19592776 0.61624602 0.59040467 0.15214733 0.43346358 0.51856241
#>  [73] 0.69884937 0.94285571 0.36253696 0.98101357 0.31091704 0.89591087
#>  [79] 0.74445272 0.02524390 0.58151848 0.09194794 0.59921593 0.29845957
#>  [85] 0.56386443 0.13684059 0.91616186 0.93621617 0.67467058 0.49974782
#>  [91] 0.89591087 0.40359357 0.27216941 0.28548151 0.54572767 0.18095812
#>  [97] 0.51856241 0.47137372 0.06569652 0.94285571 0.31091704 0.49023228
#> [103] 0.98101357 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    18    68   101    88  18.1   179  18.2   177    55    76    66    39    70 
#> 15.21 20.62  9.97 18.37 15.21 18.63 15.21 12.53 19.34 19.22 22.13 15.59  7.38 
#>    52    16  66.1    43  43.1   105  70.1  55.1    13   184    42  66.2   128 
#> 10.42  8.71 22.13 12.10 12.10 19.75  7.38 19.34 14.34 17.77 12.43 22.13 20.35 
#>   159   180  39.1   145    25   139  66.3 180.1    79     6    60   166  70.2 
#> 10.55 14.82 15.59 10.07  6.32 21.49 22.13 14.82 16.23 15.64 13.15 19.98  7.38 
#>    49    10   108   110 159.1 177.1    15   6.1   107 145.1    29 145.2   6.2 
#> 12.19 10.53 18.29 17.56 10.55 12.53 22.68 15.64 11.18 10.07 15.45 10.07 15.64 
#>    26    36   187    96 159.2  10.1    37   194 139.1   127  29.1    69  68.1 
#> 15.77 21.19  9.92 14.54 10.55 10.53 12.52 22.40 21.49  3.53 15.45 23.23 20.62 
#>  69.1 194.1   188     5  15.1    58 108.1  18.3  70.3    90    91 139.2 101.1 
#> 23.23 22.40 16.16 16.43 22.68 19.34 18.29 15.21  7.38 20.94  5.33 21.49  9.97 
#>  96.1    78    23  69.2  79.1   197 110.1    63 187.1   149   167  88.1 101.2 
#> 14.54 23.88 16.92 23.23 16.23 21.60 17.56 22.77  9.92  8.37 15.55 18.37  9.97 
#>   158   175   136    41   169 108.2 179.1   129  70.4 139.3     8  91.1   193 
#> 20.14 21.91 21.83 18.02 22.41 18.29 18.63 23.41  7.38 21.49 18.43  5.33 24.00 
#>    98   135   122   143    38   165   176  98.1    75    47   104   147    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   148   137   132   112    48   173 104.1 104.2     3    35   120    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1    11 147.1   118   162  34.1   138    82   144   131     2 162.1 120.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.2   196  75.1 148.1  38.1    20  53.1    44    21 122.1    31 138.1     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   185    71 122.2 162.2   200   186    64   178   7.1    67    94    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.3 137.1   142 118.1    65 186.1  83.1    28  46.1  48.1  19.1 135.1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1  65.1  47.1 147.2  21.1  11.1  11.2 135.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[6]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008494627               0.871925738               0.446785832 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.33533652              0.02791375              0.06673686 
#>   grade_iii, Cure model 
#>              0.70947693 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 39    15.59      1  37        0         1
#> 41    18.02      1  40        1         0
#> 81    14.06      1  34        0         0
#> 133   14.65      1  57        0         0
#> 92    22.92      1  47        0         1
#> 15    22.68      1  48        0         0
#> 15.1  22.68      1  48        0         0
#> 105   19.75      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 125   15.65      1  67        1         0
#> 175   21.91      1  43        0         0
#> 90    20.94      1  50        0         1
#> 25     6.32      1  34        1         0
#> 129   23.41      1  53        1         0
#> 41.1  18.02      1  40        1         0
#> 86    23.81      1  58        0         1
#> 133.1 14.65      1  57        0         0
#> 52    10.42      1  52        0         1
#> 23    16.92      1  61        0         0
#> 140   12.68      1  59        1         0
#> 32    20.90      1  37        1         0
#> 194   22.40      1  38        0         1
#> 181   16.46      1  45        0         1
#> 187    9.92      1  39        1         0
#> 89    11.44      1  NA        0         0
#> 136   21.83      1  43        0         1
#> 134   17.81      1  47        1         0
#> 149    8.37      1  33        1         0
#> 149.1  8.37      1  33        1         0
#> 177   12.53      1  75        0         0
#> 108   18.29      1  39        0         1
#> 77     7.27      1  67        0         1
#> 43    12.10      1  61        0         1
#> 133.2 14.65      1  57        0         0
#> 170   19.54      1  43        0         1
#> 70     7.38      1  30        1         0
#> 49    12.19      1  48        1         0
#> 180   14.82      1  37        0         0
#> 5     16.43      1  51        0         1
#> 125.1 15.65      1  67        1         0
#> 70.1   7.38      1  30        1         0
#> 78    23.88      1  43        0         0
#> 70.2   7.38      1  30        1         0
#> 60    13.15      1  38        1         0
#> 13    14.34      1  54        0         1
#> 6     15.64      1  39        0         0
#> 24    23.89      1  38        0         0
#> 23.1  16.92      1  61        0         0
#> 23.2  16.92      1  61        0         0
#> 171   16.57      1  41        0         1
#> 199   19.81      1  NA        0         1
#> 197   21.60      1  69        1         0
#> 134.1 17.81      1  47        1         0
#> 107   11.18      1  54        1         0
#> 124    9.73      1  NA        1         0
#> 136.1 21.83      1  43        0         1
#> 150   20.33      1  48        0         0
#> 26    15.77      1  49        0         1
#> 128   20.35      1  35        0         1
#> 69    23.23      1  25        0         1
#> 16     8.71      1  71        0         1
#> 170.1 19.54      1  43        0         1
#> 127    3.53      1  62        0         1
#> 24.1  23.89      1  38        0         0
#> 134.2 17.81      1  47        1         0
#> 159   10.55      1  50        0         1
#> 106   16.67      1  49        1         0
#> 68    20.62      1  44        0         0
#> 175.1 21.91      1  43        0         0
#> 123   13.00      1  44        1         0
#> 69.1  23.23      1  25        0         1
#> 13.1  14.34      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 124.1  9.73      1  NA        1         0
#> 181.1 16.46      1  45        0         1
#> 124.2  9.73      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 199.1 19.81      1  NA        0         1
#> 15.2  22.68      1  48        0         0
#> 41.2  18.02      1  40        1         0
#> 124.3  9.73      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 106.1 16.67      1  49        1         0
#> 43.1  12.10      1  61        0         1
#> 184   17.77      1  38        0         0
#> 6.1   15.64      1  39        0         0
#> 124.4  9.73      1  NA        1         0
#> 107.1 11.18      1  54        1         0
#> 18    15.21      1  49        1         0
#> 199.2 19.81      1  NA        0         1
#> 52.1  10.42      1  52        0         1
#> 86.1  23.81      1  58        0         1
#> 180.1 14.82      1  37        0         0
#> 49.1  12.19      1  48        1         0
#> 4     17.64      1  NA        0         1
#> 105.1 19.75      1  60        0         0
#> 77.1   7.27      1  67        0         1
#> 190   20.81      1  42        1         0
#> 45    17.42      1  54        0         1
#> 175.2 21.91      1  43        0         0
#> 192   16.44      1  31        1         0
#> 168   23.72      1  70        0         0
#> 111   17.45      1  47        0         1
#> 91     5.33      1  61        0         1
#> 194.1 22.40      1  38        0         1
#> 58    19.34      1  39        0         0
#> 61    10.12      1  36        0         1
#> 113   22.86      1  34        0         0
#> 158   20.14      1  74        1         0
#> 155   13.08      1  26        0         0
#> 18.1  15.21      1  49        1         0
#> 41.3  18.02      1  40        1         0
#> 71    24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 53    24.00      0  32        0         1
#> 38    24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 151   24.00      0  42        0         0
#> 131   24.00      0  66        0         0
#> 185.1 24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 98    24.00      0  34        1         0
#> 112   24.00      0  61        0         0
#> 84    24.00      0  39        0         1
#> 152   24.00      0  36        0         1
#> 104.1 24.00      0  50        1         0
#> 162   24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 74    24.00      0  43        0         1
#> 161   24.00      0  45        0         0
#> 160   24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 196   24.00      0  19        0         0
#> 9.1   24.00      0  31        1         0
#> 38.1  24.00      0  31        1         0
#> 9.2   24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 142.1 24.00      0  53        0         0
#> 11    24.00      0  42        0         1
#> 148   24.00      0  61        1         0
#> 131.1 24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 48    24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 148.1 24.00      0  61        1         0
#> 142.2 24.00      0  53        0         0
#> 12    24.00      0  63        0         0
#> 185.2 24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 75    24.00      0  21        1         0
#> 131.2 24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 138   24.00      0  44        1         0
#> 98.1  24.00      0  34        1         0
#> 196.1 24.00      0  19        0         0
#> 2     24.00      0   9        0         0
#> 64    24.00      0  43        0         0
#> 152.1 24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 67.1  24.00      0  25        0         0
#> 38.2  24.00      0  31        1         0
#> 152.2 24.00      0  36        0         1
#> 152.3 24.00      0  36        0         1
#> 146   24.00      0  63        1         0
#> 200   24.00      0  64        0         0
#> 54    24.00      0  53        1         0
#> 7     24.00      0  37        1         0
#> 38.3  24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 191   24.00      0  60        0         1
#> 17    24.00      0  38        0         1
#> 173.1 24.00      0  19        0         1
#> 178   24.00      0  52        1         0
#> 62.1  24.00      0  71        0         0
#> 185.3 24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 67.2  24.00      0  25        0         0
#> 72    24.00      0  40        0         1
#> 54.1  24.00      0  53        1         0
#> 21    24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 126   24.00      0  48        0         0
#> 156   24.00      0  50        1         0
#> 83    24.00      0   6        0         0
#> 87    24.00      0  27        0         0
#> 191.1 24.00      0  60        0         1
#> 165   24.00      0  47        0         0
#> 185.4 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 94.1  24.00      0  51        0         1
#> 174   24.00      0  49        1         0
#> 151.1 24.00      0  42        0         0
#> 2.1   24.00      0   9        0         0
#> 33    24.00      0  53        0         0
#> 151.2 24.00      0  42        0         0
#> 148.2 24.00      0  61        1         0
#> 83.1  24.00      0   6        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.34          NA        NA      NA
#> 2 age, Cure model           0.0279        NA        NA      NA
#> 3 grade_ii, Cure model      0.0667        NA        NA      NA
#> 4 grade_iii, Cure model     0.709         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00849        NA        NA      NA
#> 2 grade_ii, Survival model   0.872          NA        NA      NA
#> 3 grade_iii, Survival model  0.447          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.33534           0.02791           0.06674           0.70948  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 246.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.33533652       0.02791375       0.06673686       0.70947693 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008494627      0.871925738      0.446785832 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.82140809 0.66076155 0.87412420 0.84817502 0.33805143 0.37064585
#>   [7] 0.37064585 0.59998155 0.79914427 0.45539019 0.52939824 0.98790861
#>  [13] 0.28410565 0.66076155 0.20954321 0.84817502 0.93671198 0.73098881
#>  [19] 0.89443082 0.54046663 0.41433078 0.76923480 0.95005634 0.49370657
#>  [25] 0.69016339 0.95880239 0.95880239 0.89935262 0.65239149 0.97973743
#>  [31] 0.91375338 0.84817502 0.61791846 0.96732423 0.90425054 0.83757996
#>  [37] 0.78735270 0.79914427 0.96732423 0.16517363 0.96732423 0.87927350
#>  [43] 0.86383569 0.81030621 0.08006794 0.73098881 0.73098881 0.76301943
#>  [49] 0.51799844 0.69016339 0.92309833 0.49370657 0.58100901 0.79327850
#>  [55] 0.57117451 0.30384956 0.95444797 0.61791846 0.99599625 0.08006794
#>  [61] 0.69016339 0.93218717 0.75051613 0.56114936 0.45539019 0.88942788
#>  [67] 0.30384956 0.86383569 0.76923480 0.44172082 0.37064585 0.66076155
#>  [73] 0.64389308 0.75051613 0.91375338 0.71064671 0.81030621 0.92309833
#>  [79] 0.82693517 0.93671198 0.20954321 0.83757996 0.90425054 0.59998155
#>  [85] 0.97973743 0.55104239 0.72429843 0.45539019 0.78136329 0.25969789
#>  [91] 0.71751576 0.99196582 0.41433078 0.63522616 0.94561688 0.35447399
#>  [97] 0.59076043 0.88435429 0.82693517 0.66076155 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    39    41    81   133    92    15  15.1   105   125   175    90    25   129 
#> 15.59 18.02 14.06 14.65 22.92 22.68 22.68 19.75 15.65 21.91 20.94  6.32 23.41 
#>  41.1    86 133.1    52    23   140    32   194   181   187   136   134   149 
#> 18.02 23.81 14.65 10.42 16.92 12.68 20.90 22.40 16.46  9.92 21.83 17.81  8.37 
#> 149.1   177   108    77    43 133.2   170    70    49   180     5 125.1  70.1 
#>  8.37 12.53 18.29  7.27 12.10 14.65 19.54  7.38 12.19 14.82 16.43 15.65  7.38 
#>    78  70.2    60    13     6    24  23.1  23.2   171   197 134.1   107 136.1 
#> 23.88  7.38 13.15 14.34 15.64 23.89 16.92 16.92 16.57 21.60 17.81 11.18 21.83 
#>   150    26   128    69    16 170.1   127  24.1 134.2   159   106    68 175.1 
#> 20.33 15.77 20.35 23.23  8.71 19.54  3.53 23.89 17.81 10.55 16.67 20.62 21.91 
#>   123  69.1  13.1 181.1    66  15.2  41.2    76 106.1  43.1   184   6.1 107.1 
#> 13.00 23.23 14.34 16.46 22.13 22.68 18.02 19.22 16.67 12.10 17.77 15.64 11.18 
#>    18  52.1  86.1 180.1  49.1 105.1  77.1   190    45 175.2   192   168   111 
#> 15.21 10.42 23.81 14.82 12.19 19.75  7.27 20.81 17.42 21.91 16.44 23.72 17.45 
#>    91 194.1    58    61   113   158   155  18.1  41.3    71   173    53    38 
#>  5.33 22.40 19.34 10.12 22.86 20.14 13.08 15.21 18.02 24.00 24.00 24.00 24.00 
#>   185     9   198   151   131 185.1   104    65    98   112    84   152 104.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162    74   161   160   142   196   9.1  38.1   9.2    67 142.1    11   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1    94    48    47 148.1 142.2    12 185.2   144    75 131.2    62   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1 196.1     2    64 152.1     3  67.1  38.2 152.2 152.3   146   200    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7  38.3    20   191    17 173.1   178  62.1 185.3   121  67.2    72  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   126   156    83    87 191.1   165 185.4   132  94.1   174 151.1   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33 151.2 148.2  83.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[7]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00918627                0.38180550               -0.17167512 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.42045141              0.03085011              0.04521886 
#>   grade_iii, Cure model 
#>              0.37193102 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 164   23.60      1  76        0         1
#> 111   17.45      1  47        0         1
#> 179   18.63      1  42        0         0
#> 57    14.46      1  45        0         1
#> 133   14.65      1  57        0         0
#> 184   17.77      1  38        0         0
#> 179.1 18.63      1  42        0         0
#> 56    12.21      1  60        0         0
#> 50    10.02      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 93    10.33      1  52        0         1
#> 177   12.53      1  75        0         0
#> 78    23.88      1  43        0         0
#> 167   15.55      1  56        1         0
#> 51    18.23      1  83        0         1
#> 41    18.02      1  40        1         0
#> 49    12.19      1  48        1         0
#> 183    9.24      1  67        1         0
#> 197   21.60      1  69        1         0
#> 105   19.75      1  60        0         0
#> 10    10.53      1  34        0         0
#> 70     7.38      1  30        1         0
#> 30    17.43      1  78        0         0
#> 194   22.40      1  38        0         1
#> 16     8.71      1  71        0         1
#> 30.1  17.43      1  78        0         0
#> 188   16.16      1  46        0         1
#> 164.1 23.60      1  76        0         1
#> 136   21.83      1  43        0         1
#> 129   23.41      1  53        1         0
#> 76    19.22      1  54        0         1
#> 150   20.33      1  48        0         0
#> 171   16.57      1  41        0         1
#> 183.1  9.24      1  67        1         0
#> 69    23.23      1  25        0         1
#> 106   16.67      1  49        1         0
#> 190   20.81      1  42        1         0
#> 89    11.44      1  NA        0         0
#> 15    22.68      1  48        0         0
#> 157   15.10      1  47        0         0
#> 181   16.46      1  45        0         1
#> 50.1  10.02      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 171.1 16.57      1  41        0         1
#> 177.1 12.53      1  75        0         0
#> 50.2  10.02      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 61    10.12      1  36        0         1
#> 59    10.16      1  NA        1         0
#> 15.1  22.68      1  48        0         0
#> 195   11.76      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 169   22.41      1  46        0         0
#> 18    15.21      1  49        1         0
#> 6     15.64      1  39        0         0
#> 76.1  19.22      1  54        0         1
#> 99    21.19      1  38        0         1
#> 58    19.34      1  39        0         0
#> 78.1  23.88      1  43        0         0
#> 42    12.43      1  49        0         1
#> 194.1 22.40      1  38        0         1
#> 159   10.55      1  50        0         1
#> 108   18.29      1  39        0         1
#> 195.1 11.76      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 140   12.68      1  59        1         0
#> 92    22.92      1  47        0         1
#> 155   13.08      1  26        0         0
#> 50.3  10.02      1  NA        1         0
#> 106.1 16.67      1  49        1         0
#> 25     6.32      1  34        1         0
#> 101    9.97      1  10        0         1
#> 140.1 12.68      1  59        1         0
#> 127    3.53      1  62        0         1
#> 188.1 16.16      1  46        0         1
#> 154   12.63      1  20        1         0
#> 188.2 16.16      1  46        0         1
#> 89.1  11.44      1  NA        0         0
#> 81    14.06      1  34        0         0
#> 32    20.90      1  37        1         0
#> 76.2  19.22      1  54        0         1
#> 114   13.68      1  NA        0         0
#> 81.1  14.06      1  34        0         0
#> 85    16.44      1  36        0         0
#> 99.1  21.19      1  38        0         1
#> 100   16.07      1  60        0         0
#> 195.2 11.76      1  NA        1         0
#> 171.2 16.57      1  41        0         1
#> 139   21.49      1  63        1         0
#> 92.1  22.92      1  47        0         1
#> 76.3  19.22      1  54        0         1
#> 86    23.81      1  58        0         1
#> 51.1  18.23      1  83        0         1
#> 134   17.81      1  47        1         0
#> 79    16.23      1  54        1         0
#> 88    18.37      1  47        0         0
#> 66    22.13      1  53        0         0
#> 14    12.89      1  21        0         0
#> 79.1  16.23      1  54        1         0
#> 194.2 22.40      1  38        0         1
#> 86.1  23.81      1  58        0         1
#> 107   11.18      1  54        1         0
#> 10.1  10.53      1  34        0         0
#> 192.1 16.44      1  31        1         0
#> 190.1 20.81      1  42        1         0
#> 57.1  14.46      1  45        0         1
#> 105.1 19.75      1  60        0         0
#> 155.1 13.08      1  26        0         0
#> 153   21.33      1  55        1         0
#> 164.2 23.60      1  76        0         1
#> 89.2  11.44      1  NA        0         0
#> 157.1 15.10      1  47        0         0
#> 156   24.00      0  50        1         0
#> 142   24.00      0  53        0         0
#> 27    24.00      0  63        1         0
#> 152   24.00      0  36        0         1
#> 163   24.00      0  66        0         0
#> 17    24.00      0  38        0         1
#> 94    24.00      0  51        0         1
#> 47    24.00      0  38        0         1
#> 84    24.00      0  39        0         1
#> 137   24.00      0  45        1         0
#> 83    24.00      0   6        0         0
#> 31    24.00      0  36        0         1
#> 62    24.00      0  71        0         0
#> 94.1  24.00      0  51        0         1
#> 142.1 24.00      0  53        0         0
#> 87    24.00      0  27        0         0
#> 22    24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 131   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 47.1  24.00      0  38        0         1
#> 53    24.00      0  32        0         1
#> 172   24.00      0  41        0         0
#> 67    24.00      0  25        0         0
#> 198   24.00      0  66        0         1
#> 47.2  24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 119   24.00      0  17        0         0
#> 182   24.00      0  35        0         0
#> 27.1  24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 151   24.00      0  42        0         0
#> 3     24.00      0  31        1         0
#> 142.2 24.00      0  53        0         0
#> 186   24.00      0  45        1         0
#> 12    24.00      0  63        0         0
#> 83.1  24.00      0   6        0         0
#> 144   24.00      0  28        0         1
#> 54    24.00      0  53        1         0
#> 87.1  24.00      0  27        0         0
#> 104   24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 84.1  24.00      0  39        0         1
#> 104.1 24.00      0  50        1         0
#> 173   24.00      0  19        0         1
#> 7     24.00      0  37        1         0
#> 160.1 24.00      0  31        1         0
#> 94.2  24.00      0  51        0         1
#> 83.2  24.00      0   6        0         0
#> 17.1  24.00      0  38        0         1
#> 11    24.00      0  42        0         1
#> 87.2  24.00      0  27        0         0
#> 73    24.00      0  NA        0         1
#> 11.1  24.00      0  42        0         1
#> 193   24.00      0  45        0         1
#> 126   24.00      0  48        0         0
#> 98    24.00      0  34        1         0
#> 126.1 24.00      0  48        0         0
#> 172.1 24.00      0  41        0         0
#> 109.1 24.00      0  48        0         0
#> 173.1 24.00      0  19        0         1
#> 191   24.00      0  60        0         1
#> 198.1 24.00      0  66        0         1
#> 143   24.00      0  51        0         0
#> 53.1  24.00      0  32        0         1
#> 163.1 24.00      0  66        0         0
#> 119.1 24.00      0  17        0         0
#> 156.1 24.00      0  50        1         0
#> 64    24.00      0  43        0         0
#> 148.1 24.00      0  61        1         0
#> 84.2  24.00      0  39        0         1
#> 104.2 24.00      0  50        1         0
#> 44    24.00      0  56        0         0
#> 38    24.00      0  31        1         0
#> 173.2 24.00      0  19        0         1
#> 3.1   24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 31.1  24.00      0  36        0         1
#> 142.3 24.00      0  53        0         0
#> 146   24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 83.3  24.00      0   6        0         0
#> 176   24.00      0  43        0         1
#> 20    24.00      0  46        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.42          NA        NA      NA
#> 2 age, Cure model           0.0309        NA        NA      NA
#> 3 grade_ii, Cure model      0.0452        NA        NA      NA
#> 4 grade_iii, Cure model     0.372         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00919        NA        NA      NA
#> 2 grade_ii, Survival model   0.382          NA        NA      NA
#> 3 grade_iii, Survival model -0.172          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.42045           0.03085           0.04522           0.37193  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 247.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.42045141       0.03085011       0.04521886       0.37193102 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00918627       0.38180550      -0.17167512 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0070582028 0.3046409669 0.2160012769 0.6048697631 0.5922365796
#>   [6] 0.2943156770 0.2160012769 0.7746625202 0.5427928940 0.8710954788
#>  [11] 0.7345753154 0.0006795372 0.5305319669 0.2538604353 0.2738943557
#>  [16] 0.7882777281 0.9136604225 0.0811768523 0.1566607310 0.8433146054
#>  [21] 0.9565938546 0.3151273034 0.0500040747 0.9421275176 0.3151273034
#>  [26] 0.4709633750 0.0070582028 0.0742211560 0.0162665921 0.1814477589
#>  [31] 0.1486466678 0.3691954314 0.9136604225 0.0203211367 0.3474616453
#>  [36] 0.1333368946 0.0339541352 0.5674528831 0.4025367748 0.3364656688
#>  [41] 0.3691954314 0.7345753154 0.1175489026 0.8852068123 0.0339541352
#>  [46] 0.8019064583 0.0442624771 0.5551138401 0.5183061450 0.1814477589
#>  [51] 0.1027218795 0.1729686029 0.0006795372 0.7611479629 0.0500040747
#>  [56] 0.8294316019 0.2441144952 0.4141180901 0.6952040955 0.0246642168
#>  [61] 0.6560867464 0.3474616453 0.9710357214 0.8994075481 0.6952040955
#>  [66] 0.9854621565 0.4709633750 0.7214060399 0.4709633750 0.6303386585
#>  [71] 0.1254534439 0.1814477589 0.6303386585 0.4141180901 0.1027218795
#>  [76] 0.5061665554 0.3691954314 0.0882682184 0.0246642168 0.1814477589
#>  [81] 0.0029983292 0.2538604353 0.2840960575 0.4479725493 0.2345260552
#>  [86] 0.0675367053 0.6820514328 0.4479725493 0.0500040747 0.0029983292
#>  [91] 0.8156564917 0.8433146054 0.4141180901 0.1333368946 0.6048697631
#>  [96] 0.1566607310 0.6560867464 0.0954631685 0.0070582028 0.5674528831
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000
#> 
#> $Time
#>   164   111   179    57   133   184 179.1    56    29    93   177    78   167 
#> 23.60 17.45 18.63 14.46 14.65 17.77 18.63 12.21 15.45 10.33 12.53 23.88 15.55 
#>    51    41    49   183   197   105    10    70    30   194    16  30.1   188 
#> 18.23 18.02 12.19  9.24 21.60 19.75 10.53  7.38 17.43 22.40  8.71 17.43 16.16 
#> 164.1   136   129    76   150   171 183.1    69   106   190    15   157   181 
#> 23.60 21.83 23.41 19.22 20.33 16.57  9.24 23.23 16.67 20.81 22.68 15.10 16.46 
#>    23 171.1 177.1    90    61  15.1    43   169    18     6  76.1    99    58 
#> 16.92 16.57 12.53 20.94 10.12 22.68 12.10 22.41 15.21 15.64 19.22 21.19 19.34 
#>  78.1    42 194.1   159   108   192   140    92   155 106.1    25   101 140.1 
#> 23.88 12.43 22.40 10.55 18.29 16.44 12.68 22.92 13.08 16.67  6.32  9.97 12.68 
#>   127 188.1   154 188.2    81    32  76.2  81.1    85  99.1   100 171.2   139 
#>  3.53 16.16 12.63 16.16 14.06 20.90 19.22 14.06 16.44 21.19 16.07 16.57 21.49 
#>  92.1  76.3    86  51.1   134    79    88    66    14  79.1 194.2  86.1   107 
#> 22.92 19.22 23.81 18.23 17.81 16.23 18.37 22.13 12.89 16.23 22.40 23.81 11.18 
#>  10.1 192.1 190.1  57.1 105.1 155.1   153 164.2 157.1   156   142    27   152 
#> 10.53 16.44 20.81 14.46 19.75 13.08 21.33 23.60 15.10 24.00 24.00 24.00 24.00 
#>   163    17    94    47    84   137    83    31    62  94.1 142.1    87    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109   131   132  47.1    53   172    67   198  47.2   116   122   119   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1   148   151     3 142.2   186    12  83.1   144    54  87.1   104   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.1 104.1   173     7 160.1  94.2  83.2  17.1    11  87.2  11.1   193   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98 126.1 172.1 109.1 173.1   191 198.1   143  53.1 163.1 119.1 156.1    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1  84.2 104.2    44    38 173.2   3.1   162    21     9    75  31.1 142.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146   185  83.3   176    20 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[8]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002074206               0.971390269               0.726706589 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.48651830             -0.01444081              0.24322940 
#>   grade_iii, Cure model 
#>              1.05250325 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 78    23.88      1  43        0         0
#> 169   22.41      1  46        0         0
#> 183    9.24      1  67        1         0
#> 45    17.42      1  54        0         1
#> 190   20.81      1  42        1         0
#> 63    22.77      1  31        1         0
#> 187    9.92      1  39        1         0
#> 123   13.00      1  44        1         0
#> 125   15.65      1  67        1         0
#> 117   17.46      1  26        0         1
#> 99    21.19      1  38        0         1
#> 127    3.53      1  62        0         1
#> 195   11.76      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 68    20.62      1  44        0         0
#> 61    10.12      1  36        0         1
#> 188   16.16      1  46        0         1
#> 88    18.37      1  47        0         0
#> 25     6.32      1  34        1         0
#> 89    11.44      1  NA        0         0
#> 16     8.71      1  71        0         1
#> 25.1   6.32      1  34        1         0
#> 42    12.43      1  49        0         1
#> 134   17.81      1  47        1         0
#> 128   20.35      1  35        0         1
#> 194   22.40      1  38        0         1
#> 107   11.18      1  54        1         0
#> 129   23.41      1  53        1         0
#> 192   16.44      1  31        1         0
#> 155   13.08      1  26        0         0
#> 158   20.14      1  74        1         0
#> 32    20.90      1  37        1         0
#> 41    18.02      1  40        1         0
#> 70     7.38      1  30        1         0
#> 70.1   7.38      1  30        1         0
#> 42.1  12.43      1  49        0         1
#> 130   16.47      1  53        0         1
#> 55    19.34      1  69        0         1
#> 168   23.72      1  70        0         0
#> 8     18.43      1  32        0         0
#> 24    23.89      1  38        0         0
#> 153   21.33      1  55        1         0
#> 6     15.64      1  39        0         0
#> 15    22.68      1  48        0         0
#> 14    12.89      1  21        0         0
#> 45.1  17.42      1  54        0         1
#> 110   17.56      1  65        0         1
#> 6.1   15.64      1  39        0         0
#> 134.1 17.81      1  47        1         0
#> 78.1  23.88      1  43        0         0
#> 60    13.15      1  38        1         0
#> 92    22.92      1  47        0         1
#> 100   16.07      1  60        0         0
#> 13    14.34      1  54        0         1
#> 5     16.43      1  51        0         1
#> 183.1  9.24      1  67        1         0
#> 197   21.60      1  69        1         0
#> 29    15.45      1  68        1         0
#> 184   17.77      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 96    14.54      1  33        0         1
#> 26    15.77      1  49        0         1
#> 113   22.86      1  34        0         0
#> 58    19.34      1  39        0         0
#> 63.1  22.77      1  31        1         0
#> 79    16.23      1  54        1         0
#> 189   10.51      1  NA        1         0
#> 113.1 22.86      1  34        0         0
#> 108   18.29      1  39        0         1
#> 97    19.14      1  65        0         1
#> 195.1 11.76      1  NA        1         0
#> 110.1 17.56      1  65        0         1
#> 58.1  19.34      1  39        0         0
#> 57    14.46      1  45        0         1
#> 59    10.16      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 125.1 15.65      1  67        1         0
#> 130.1 16.47      1  53        0         1
#> 166   19.98      1  48        0         0
#> 124.1  9.73      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 41.1  18.02      1  40        1         0
#> 99.1  21.19      1  38        0         1
#> 55.1  19.34      1  69        0         1
#> 36    21.19      1  48        0         1
#> 170   19.54      1  43        0         1
#> 86    23.81      1  58        0         1
#> 70.2   7.38      1  30        1         0
#> 37    12.52      1  57        1         0
#> 14.1  12.89      1  21        0         0
#> 4     17.64      1  NA        0         1
#> 41.2  18.02      1  40        1         0
#> 25.2   6.32      1  34        1         0
#> 45.2  17.42      1  54        0         1
#> 41.3  18.02      1  40        1         0
#> 78.2  23.88      1  43        0         0
#> 76    19.22      1  54        0         1
#> 153.1 21.33      1  55        1         0
#> 108.1 18.29      1  39        0         1
#> 140   12.68      1  59        1         0
#> 88.1  18.37      1  47        0         0
#> 6.2   15.64      1  39        0         0
#> 88.2  18.37      1  47        0         0
#> 90    20.94      1  50        0         1
#> 55.2  19.34      1  69        0         1
#> 60.1  13.15      1  38        1         0
#> 85    16.44      1  36        0         0
#> 18    15.21      1  49        1         0
#> 77     7.27      1  67        0         1
#> 107.1 11.18      1  54        1         0
#> 100.1 16.07      1  60        0         0
#> 124.2  9.73      1  NA        1         0
#> 121   24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 186   24.00      0  45        1         0
#> 54    24.00      0  53        1         0
#> 131   24.00      0  66        0         0
#> 65    24.00      0  57        1         0
#> 65.1  24.00      0  57        1         0
#> 46    24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 17    24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 20    24.00      0  46        1         0
#> 82    24.00      0  34        0         0
#> 103   24.00      0  56        1         0
#> 161   24.00      0  45        0         0
#> 160   24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 176   24.00      0  43        0         1
#> 132   24.00      0  55        0         0
#> 193   24.00      0  45        0         1
#> 131.1 24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 103.1 24.00      0  56        1         0
#> 198   24.00      0  66        0         1
#> 21    24.00      0  47        0         0
#> 182   24.00      0  35        0         0
#> 33    24.00      0  53        0         0
#> 109   24.00      0  48        0         0
#> 82.1  24.00      0  34        0         0
#> 1     24.00      0  23        1         0
#> 11    24.00      0  42        0         1
#> 48    24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 12    24.00      0  63        0         0
#> 65.2  24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 31    24.00      0  36        0         1
#> 65.3  24.00      0  57        1         0
#> 62    24.00      0  71        0         0
#> 82.2  24.00      0  34        0         0
#> 116   24.00      0  58        0         1
#> 147   24.00      0  76        1         0
#> 94    24.00      0  51        0         1
#> 121.1 24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 73    24.00      0  NA        0         1
#> 122   24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 185   24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 186.1 24.00      0  45        1         0
#> 3     24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 185.1 24.00      0  44        1         0
#> 33.1  24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 148.1 24.00      0  61        1         0
#> 44.1  24.00      0  56        0         0
#> 198.1 24.00      0  66        0         1
#> 62.1  24.00      0  71        0         0
#> 185.2 24.00      0  44        1         0
#> 65.4  24.00      0  57        1         0
#> 1.1   24.00      0  23        1         0
#> 178.1 24.00      0  52        1         0
#> 74    24.00      0  43        0         1
#> 67.1  24.00      0  25        0         0
#> 143.1 24.00      0  51        0         0
#> 193.1 24.00      0  45        0         1
#> 11.1  24.00      0  42        0         1
#> 132.1 24.00      0  55        0         0
#> 141   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 75.1  24.00      0  21        1         0
#> 34    24.00      0  36        0         0
#> 109.1 24.00      0  48        0         0
#> 19    24.00      0  57        0         1
#> 200   24.00      0  64        0         0
#> 163   24.00      0  66        0         0
#> 182.1 24.00      0  35        0         0
#> 38.1  24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 162.1 24.00      0  51        0         0
#> 33.2  24.00      0  53        0         0
#> 131.2 24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.487         NA        NA      NA
#> 2 age, Cure model          -0.0144        NA        NA      NA
#> 3 grade_ii, Cure model      0.243         NA        NA      NA
#> 4 grade_iii, Cure model     1.05          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00207        NA        NA      NA
#> 2 grade_ii, Survival model   0.971          NA        NA      NA
#> 3 grade_iii, Survival model  0.727          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.48652          -0.01444           0.24323           1.05250  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 253.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.48651830      -0.01444081       0.24322940       1.05250325 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002074206      0.971390269      0.726706589 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.06963214 0.29579772 0.93897779 0.68748029 0.43274212 0.25183303
#>   [7] 0.92730400 0.86592685 0.78022418 0.67985608 0.37780947 0.99460046
#>  [13] 0.32523851 0.44306865 0.92134045 0.75241347 0.56493220 0.97841810
#>  [19] 0.95046607 0.97841810 0.89720347 0.64107130 0.45341622 0.31083556
#>  [25] 0.90938099 0.17933240 0.72397571 0.85956467 0.46355024 0.42205312
#>  [31] 0.60917549 0.95620039 0.95620039 0.89720347 0.70948553 0.49299588
#>  [37] 0.15634852 0.55591038 0.02359930 0.35342490 0.79371523 0.28082929
#>  [43] 0.87222374 0.68748029 0.66452915 0.79371523 0.64107130 0.06963214
#>  [49] 0.84689230 0.19889664 0.75938469 0.84039149 0.73826498 0.93897779
#>  [55] 0.33970827 0.81390542 0.65667386 0.02359930 0.82725822 0.77329290
#>  [61] 0.21691088 0.49299588 0.25183303 0.74538493 0.21691088 0.59168511
#>  [67] 0.54689796 0.66452915 0.49299588 0.83384771 0.78022418 0.70948553
#>  [73] 0.47341142 0.92730400 0.60917549 0.37780947 0.49299588 0.37780947
#>  [79] 0.48329210 0.13381735 0.95620039 0.89102079 0.87222374 0.60917549
#>  [85] 0.97841810 0.68748029 0.60917549 0.06963214 0.53776401 0.35342490
#>  [91] 0.59168511 0.88477978 0.56493220 0.79371523 0.56493220 0.41095768
#>  [97] 0.49299588 0.84689230 0.72397571 0.82061947 0.97285882 0.90938099
#> [103] 0.75938469 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    78   169   183    45   190    63   187   123   125   117    99   127    66 
#> 23.88 22.41  9.24 17.42 20.81 22.77  9.92 13.00 15.65 17.46 21.19  3.53 22.13 
#>    68    61   188    88    25    16  25.1    42   134   128   194   107   129 
#> 20.62 10.12 16.16 18.37  6.32  8.71  6.32 12.43 17.81 20.35 22.40 11.18 23.41 
#>   192   155   158    32    41    70  70.1  42.1   130    55   168     8    24 
#> 16.44 13.08 20.14 20.90 18.02  7.38  7.38 12.43 16.47 19.34 23.72 18.43 23.89 
#>   153     6    15    14  45.1   110   6.1 134.1  78.1    60    92   100    13 
#> 21.33 15.64 22.68 12.89 17.42 17.56 15.64 17.81 23.88 13.15 22.92 16.07 14.34 
#>     5 183.1   197    29   184  24.1    96    26   113    58  63.1    79 113.1 
#> 16.43  9.24 21.60 15.45 17.77 23.89 14.54 15.77 22.86 19.34 22.77 16.23 22.86 
#>   108    97 110.1  58.1    57 125.1 130.1   166 187.1  41.1  99.1  55.1    36 
#> 18.29 19.14 17.56 19.34 14.46 15.65 16.47 19.98  9.92 18.02 21.19 19.34 21.19 
#>   170    86  70.2    37  14.1  41.2  25.2  45.2  41.3  78.2    76 153.1 108.1 
#> 19.54 23.81  7.38 12.52 12.89 18.02  6.32 17.42 18.02 23.88 19.22 21.33 18.29 
#>   140  88.1   6.2  88.2    90  55.2  60.1    85    18    77 107.1 100.1   121 
#> 12.68 18.37 15.64 18.37 20.94 19.34 13.15 16.44 15.21  7.27 11.18 16.07 24.00 
#>   191   186    54   131    65  65.1    46    38    64    17    44    20    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   161   160   174   176   132   193 131.1   138    75 103.1   198    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182    33   109  82.1     1    11    48 160.1    67    12  65.2   178    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.3    62  82.2   116   147    94 121.1    28   122    84   185    47 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3   143 185.1  33.1   148 148.1  44.1 198.1  62.1 185.2  65.4   1.1 178.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74  67.1 143.1 193.1  11.1 132.1   141   162   172  75.1    34 109.1    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200   163 182.1  38.1   146 162.1  33.2 131.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[9]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003004424               0.695560764               0.332684223 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.42592018              0.02897092             -0.15708574 
#>   grade_iii, Cure model 
#>              0.68023591 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 76    19.22      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 199   19.81      1  NA        0         1
#> 123   13.00      1  44        1         0
#> 69    23.23      1  25        0         1
#> 78    23.88      1  43        0         0
#> 188   16.16      1  46        0         1
#> 166   19.98      1  48        0         0
#> 97    19.14      1  65        0         1
#> 6     15.64      1  39        0         0
#> 77     7.27      1  67        0         1
#> 51    18.23      1  83        0         1
#> 125   15.65      1  67        1         0
#> 79    16.23      1  54        1         0
#> 158   20.14      1  74        1         0
#> 167   15.55      1  56        1         0
#> 57    14.46      1  45        0         1
#> 97.1  19.14      1  65        0         1
#> 23    16.92      1  61        0         0
#> 61    10.12      1  36        0         1
#> 93    10.33      1  52        0         1
#> 195   11.76      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 139   21.49      1  63        1         0
#> 50    10.02      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 78.1  23.88      1  43        0         0
#> 70     7.38      1  30        1         0
#> 154   12.63      1  20        1         0
#> 93.1  10.33      1  52        0         1
#> 99    21.19      1  38        0         1
#> 129   23.41      1  53        1         0
#> 56    12.21      1  60        0         0
#> 127    3.53      1  62        0         1
#> 16     8.71      1  71        0         1
#> 190   20.81      1  42        1         0
#> 169   22.41      1  46        0         0
#> 90    20.94      1  50        0         1
#> 164   23.60      1  76        0         1
#> 50.1  10.02      1  NA        1         0
#> 167.1 15.55      1  56        1         0
#> 29    15.45      1  68        1         0
#> 164.1 23.60      1  76        0         1
#> 190.1 20.81      1  42        1         0
#> 117   17.46      1  26        0         1
#> 110   17.56      1  65        0         1
#> 167.2 15.55      1  56        1         0
#> 50.2  10.02      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 76.1  19.22      1  54        0         1
#> 153   21.33      1  55        1         0
#> 123.1 13.00      1  44        1         0
#> 15    22.68      1  48        0         0
#> 88    18.37      1  47        0         0
#> 30    17.43      1  78        0         0
#> 61.1  10.12      1  36        0         1
#> 39    15.59      1  37        0         1
#> 85    16.44      1  36        0         0
#> 184   17.77      1  38        0         0
#> 133   14.65      1  57        0         0
#> 194   22.40      1  38        0         1
#> 37    12.52      1  57        1         0
#> 136.1 21.83      1  43        0         1
#> 192   16.44      1  31        1         0
#> 14    12.89      1  21        0         0
#> 150   20.33      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 145   10.07      1  65        1         0
#> 114   13.68      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 79.1  16.23      1  54        1         0
#> 168   23.72      1  70        0         0
#> 130   16.47      1  53        0         1
#> 130.1 16.47      1  53        0         1
#> 114.1 13.68      1  NA        0         0
#> 52    10.42      1  52        0         1
#> 140.1 12.68      1  59        1         0
#> 153.1 21.33      1  55        1         0
#> 113   22.86      1  34        0         0
#> 50.3  10.02      1  NA        1         0
#> 14.1  12.89      1  21        0         0
#> 111   17.45      1  47        0         1
#> 194.1 22.40      1  38        0         1
#> 111.1 17.45      1  47        0         1
#> 69.1  23.23      1  25        0         1
#> 181   16.46      1  45        0         1
#> 199.1 19.81      1  NA        0         1
#> 105   19.75      1  60        0         0
#> 153.2 21.33      1  55        1         0
#> 4.1   17.64      1  NA        0         1
#> 96    14.54      1  33        0         1
#> 149    8.37      1  33        1         0
#> 50.4  10.02      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 108   18.29      1  39        0         1
#> 197   21.60      1  69        1         0
#> 4.2   17.64      1  NA        0         1
#> 145.1 10.07      1  65        1         0
#> 43    12.10      1  61        0         1
#> 88.1  18.37      1  47        0         0
#> 66.1  22.13      1  53        0         0
#> 58    19.34      1  39        0         0
#> 139.1 21.49      1  63        1         0
#> 175   21.91      1  43        0         0
#> 125.1 15.65      1  67        1         0
#> 85.1  16.44      1  36        0         0
#> 92    22.92      1  47        0         1
#> 194.2 22.40      1  38        0         1
#> 91     5.33      1  61        0         1
#> 90.1  20.94      1  50        0         1
#> 188.1 16.16      1  46        0         1
#> 4.3   17.64      1  NA        0         1
#> 174   24.00      0  49        1         0
#> 173   24.00      0  19        0         1
#> 46    24.00      0  71        0         0
#> 74    24.00      0  43        0         1
#> 33    24.00      0  53        0         0
#> 31    24.00      0  36        0         1
#> 196   24.00      0  19        0         0
#> 87    24.00      0  27        0         0
#> 2     24.00      0   9        0         0
#> 144   24.00      0  28        0         1
#> 144.1 24.00      0  28        0         1
#> 176   24.00      0  43        0         1
#> 126   24.00      0  48        0         0
#> 172   24.00      0  41        0         0
#> 131   24.00      0  66        0         0
#> 156   24.00      0  50        1         0
#> 54    24.00      0  53        1         0
#> 9     24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 172.1 24.00      0  41        0         0
#> 27    24.00      0  63        1         0
#> 173.1 24.00      0  19        0         1
#> 198   24.00      0  66        0         1
#> 131.1 24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 46.1  24.00      0  71        0         0
#> 94    24.00      0  51        0         1
#> 176.1 24.00      0  43        0         1
#> 163   24.00      0  66        0         0
#> 163.1 24.00      0  66        0         0
#> 27.1  24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 7     24.00      0  37        1         0
#> 186   24.00      0  45        1         0
#> 82    24.00      0  34        0         0
#> 191   24.00      0  60        0         1
#> 182   24.00      0  35        0         0
#> 151   24.00      0  42        0         0
#> 103   24.00      0  56        1         0
#> 73    24.00      0  NA        0         1
#> 11    24.00      0  42        0         1
#> 54.1  24.00      0  53        1         0
#> 22    24.00      0  52        1         0
#> 126.1 24.00      0  48        0         0
#> 198.1 24.00      0  66        0         1
#> 75.1  24.00      0  21        1         0
#> 17.1  24.00      0  38        0         1
#> 119   24.00      0  17        0         0
#> 147   24.00      0  76        1         0
#> 132   24.00      0  55        0         0
#> 178   24.00      0  52        1         0
#> 73.1  24.00      0  NA        0         1
#> 17.2  24.00      0  38        0         1
#> 54.2  24.00      0  53        1         0
#> 178.1 24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 143   24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 151.1 24.00      0  42        0         0
#> 141   24.00      0  44        1         0
#> 75.2  24.00      0  21        1         0
#> 185   24.00      0  44        1         0
#> 27.2  24.00      0  63        1         0
#> 9.1   24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 31.1  24.00      0  36        0         1
#> 1     24.00      0  23        1         0
#> 174.1 24.00      0  49        1         0
#> 144.2 24.00      0  28        0         1
#> 65    24.00      0  57        1         0
#> 196.1 24.00      0  19        0         0
#> 95    24.00      0  68        0         1
#> 17.3  24.00      0  38        0         1
#> 143.1 24.00      0  51        0         0
#> 151.2 24.00      0  42        0         0
#> 115   24.00      0  NA        1         0
#> 186.1 24.00      0  45        1         0
#> 138.1 24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 17.4  24.00      0  38        0         1
#> 200   24.00      0  64        0         0
#> 151.3 24.00      0  42        0         0
#> 102   24.00      0  49        0         0
#> 11.1  24.00      0  42        0         1
#> 156.1 24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.43          NA        NA      NA
#> 2 age, Cure model           0.0290        NA        NA      NA
#> 3 grade_ii, Cure model     -0.157         NA        NA      NA
#> 4 grade_iii, Cure model     0.680         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00300        NA        NA      NA
#> 2 grade_ii, Survival model   0.696          NA        NA      NA
#> 3 grade_iii, Survival model  0.333          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.42592           0.02897          -0.15709           0.68024  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    251.5 
#> Residual Deviance: 239.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.42592018       0.02897092      -0.15708574       0.68023591 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003004424      0.695560764      0.332684223 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.44786350 0.79795522 0.10306660 0.01263452 0.67168442 0.41775494
#>   [7] 0.46760659 0.70860340 0.97553222 0.51686772 0.69030166 0.65295578
#>  [13] 0.40778516 0.72702209 0.78023744 0.46760659 0.58557163 0.91757635
#>  [19] 0.90077675 0.25541497 0.29233316 0.83265200 0.01263452 0.96735589
#>  [25] 0.84976933 0.90077675 0.34634068 0.08836475 0.87532265 0.99185475
#>  [31] 0.95082936 0.37775140 0.16814290 0.35699828 0.05819243 0.72702209
#>  [37] 0.75356842 0.05819243 0.37775140 0.54657351 0.53668282 0.72702209
#>  [43] 0.78909259 0.44786350 0.31511438 0.79795522 0.15476824 0.48722781
#>  [49] 0.57577362 0.91757635 0.71782740 0.62449433 0.52676522 0.76245618
#>  [55] 0.18165682 0.86683760 0.25541497 0.62449433 0.81529232 0.39766567
#>  [61] 0.93429888 0.21747850 0.65295578 0.03942259 0.59539717 0.59539717
#>  [67] 0.89230680 0.83265200 0.31511438 0.14154762 0.81529232 0.55641259
#>  [73] 0.18165682 0.55641259 0.10306660 0.61476609 0.42775679 0.31511438
#>  [79] 0.77136029 0.95912166 0.85829490 0.50695374 0.28006945 0.93429888
#>  [85] 0.88382130 0.48722781 0.21747850 0.43779738 0.29233316 0.24248727
#>  [91] 0.69030166 0.62449433 0.12844662 0.18165682 0.98369894 0.35699828
#>  [97] 0.67168442 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000
#> 
#> $Time
#>    76   123    69    78   188   166    97     6    77    51   125    79   158 
#> 19.22 13.00 23.23 23.88 16.16 19.98 19.14 15.64  7.27 18.23 15.65 16.23 20.14 
#>   167    57  97.1    23    61    93   136   139   140  78.1    70   154  93.1 
#> 15.55 14.46 19.14 16.92 10.12 10.33 21.83 21.49 12.68 23.88  7.38 12.63 10.33 
#>    99   129    56   127    16   190   169    90   164 167.1    29 164.1 190.1 
#> 21.19 23.41 12.21  3.53  8.71 20.81 22.41 20.94 23.60 15.55 15.45 23.60 20.81 
#>   117   110 167.2   155  76.1   153 123.1    15    88    30  61.1    39    85 
#> 17.46 17.56 15.55 13.08 19.22 21.33 13.00 22.68 18.37 17.43 10.12 15.59 16.44 
#>   184   133   194    37 136.1   192    14   150   145    66  79.1   168   130 
#> 17.77 14.65 22.40 12.52 21.83 16.44 12.89 20.33 10.07 22.13 16.23 23.72 16.47 
#> 130.1    52 140.1 153.1   113  14.1   111 194.1 111.1  69.1   181   105 153.2 
#> 16.47 10.42 12.68 21.33 22.86 12.89 17.45 22.40 17.45 23.23 16.46 19.75 21.33 
#>    96   149   177   108   197 145.1    43  88.1  66.1    58 139.1   175 125.1 
#> 14.54  8.37 12.53 18.29 21.60 10.07 12.10 18.37 22.13 19.34 21.49 21.91 15.65 
#>  85.1    92 194.2    91  90.1 188.1   174   173    46    74    33    31   196 
#> 16.44 22.92 22.40  5.33 20.94 16.16 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87     2   144 144.1   176   126   172   131   156    54     9   118 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27 173.1   198 131.1    75  46.1    94 176.1   163 163.1  27.1    17   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135     7   186    82   191   182   151   103    11  54.1    22 126.1 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1  17.1   119   147   132   178  17.2  54.2 178.1    71    53   143   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1   141  75.2   185  27.2   9.1    20  31.1     1 174.1 144.2    65 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95  17.3 143.1 151.2 186.1 138.1   104  17.4   200 151.3   102  11.1 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[10]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005544737               0.416547623               0.085280668 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.91064110              0.01416673              0.58924829 
#>   grade_iii, Cure model 
#>              0.81743345 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 79    16.23      1  54        1         0
#> 188   16.16      1  46        0         1
#> 192   16.44      1  31        1         0
#> 13    14.34      1  54        0         1
#> 76    19.22      1  54        0         1
#> 79.1  16.23      1  54        1         0
#> 66    22.13      1  53        0         0
#> 5     16.43      1  51        0         1
#> 133   14.65      1  57        0         0
#> 58    19.34      1  39        0         0
#> 43    12.10      1  61        0         1
#> 59    10.16      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 133.1 14.65      1  57        0         0
#> 139   21.49      1  63        1         0
#> 78    23.88      1  43        0         0
#> 50    10.02      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 134   17.81      1  47        1         0
#> 59.1  10.16      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 57    14.46      1  45        0         1
#> 187    9.92      1  39        1         0
#> 107   11.18      1  54        1         0
#> 183    9.24      1  67        1         0
#> 70     7.38      1  30        1         0
#> 52    10.42      1  52        0         1
#> 117   17.46      1  26        0         1
#> 29    15.45      1  68        1         0
#> 177   12.53      1  75        0         0
#> 100   16.07      1  60        0         0
#> 190   20.81      1  42        1         0
#> 16     8.71      1  71        0         1
#> 199   19.81      1  NA        0         1
#> 40    18.00      1  28        1         0
#> 10    10.53      1  34        0         0
#> 184   17.77      1  38        0         0
#> 136   21.83      1  43        0         1
#> 159   10.55      1  50        0         1
#> 92    22.92      1  47        0         1
#> 106   16.67      1  49        1         0
#> 187.1  9.92      1  39        1         0
#> 99    21.19      1  38        0         1
#> 123   13.00      1  44        1         0
#> 56    12.21      1  60        0         0
#> 134.1 17.81      1  47        1         0
#> 40.1  18.00      1  28        1         0
#> 24    23.89      1  38        0         0
#> 125   15.65      1  67        1         0
#> 113   22.86      1  34        0         0
#> 190.1 20.81      1  42        1         0
#> 92.1  22.92      1  47        0         1
#> 139.1 21.49      1  63        1         0
#> 153   21.33      1  55        1         0
#> 58.1  19.34      1  39        0         0
#> 166   19.98      1  48        0         0
#> 180.1 14.82      1  37        0         0
#> 158   20.14      1  74        1         0
#> 85    16.44      1  36        0         0
#> 81    14.06      1  34        0         0
#> 157   15.10      1  47        0         0
#> 124    9.73      1  NA        1         0
#> 139.2 21.49      1  63        1         0
#> 179   18.63      1  42        0         0
#> 190.2 20.81      1  42        1         0
#> 50.1  10.02      1  NA        1         0
#> 123.1 13.00      1  44        1         0
#> 40.2  18.00      1  28        1         0
#> 90    20.94      1  50        0         1
#> 168   23.72      1  70        0         0
#> 63    22.77      1  31        1         0
#> 169   22.41      1  46        0         0
#> 158.1 20.14      1  74        1         0
#> 110   17.56      1  65        0         1
#> 88    18.37      1  47        0         0
#> 113.1 22.86      1  34        0         0
#> 37    12.52      1  57        1         0
#> 88.1  18.37      1  47        0         0
#> 195   11.76      1  NA        1         0
#> 199.1 19.81      1  NA        0         1
#> 199.2 19.81      1  NA        0         1
#> 166.1 19.98      1  48        0         0
#> 68    20.62      1  44        0         0
#> 49    12.19      1  48        1         0
#> 149    8.37      1  33        1         0
#> 49.1  12.19      1  48        1         0
#> 30    17.43      1  78        0         0
#> 36    21.19      1  48        0         1
#> 69.1  23.23      1  25        0         1
#> 81.1  14.06      1  34        0         0
#> 5.1   16.43      1  51        0         1
#> 195.1 11.76      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 93    10.33      1  52        0         1
#> 13.1  14.34      1  54        0         1
#> 8     18.43      1  32        0         0
#> 97    19.14      1  65        0         1
#> 145   10.07      1  65        1         0
#> 39    15.59      1  37        0         1
#> 93.1  10.33      1  52        0         1
#> 56.1  12.21      1  60        0         0
#> 85.1  16.44      1  36        0         0
#> 177.1 12.53      1  75        0         0
#> 130   16.47      1  53        0         1
#> 36.1  21.19      1  48        0         1
#> 117.1 17.46      1  26        0         1
#> 77     7.27      1  67        0         1
#> 105   19.75      1  60        0         0
#> 57.1  14.46      1  45        0         1
#> 127    3.53      1  62        0         1
#> 164   23.60      1  76        0         1
#> 79.2  16.23      1  54        1         0
#> 119   24.00      0  17        0         0
#> 182   24.00      0  35        0         0
#> 163   24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 162   24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 72    24.00      0  40        0         1
#> 27    24.00      0  63        1         0
#> 165   24.00      0  47        0         0
#> 27.1  24.00      0  63        1         0
#> 94    24.00      0  51        0         1
#> 22    24.00      0  52        1         0
#> 2     24.00      0   9        0         0
#> 152   24.00      0  36        0         1
#> 161   24.00      0  45        0         0
#> 112   24.00      0  61        0         0
#> 28    24.00      0  67        1         0
#> 173   24.00      0  19        0         1
#> 46    24.00      0  71        0         0
#> 119.1 24.00      0  17        0         0
#> 196   24.00      0  19        0         0
#> 48    24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 200.1 24.00      0  64        0         0
#> 122   24.00      0  66        0         0
#> 64.1  24.00      0  43        0         0
#> 142   24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 104   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 119.2 24.00      0  17        0         0
#> 28.1  24.00      0  67        1         0
#> 173.1 24.00      0  19        0         1
#> 112.1 24.00      0  61        0         0
#> 73    24.00      0  NA        0         1
#> 112.2 24.00      0  61        0         0
#> 200.2 24.00      0  64        0         0
#> 200.3 24.00      0  64        0         0
#> 119.3 24.00      0  17        0         0
#> 161.1 24.00      0  45        0         0
#> 185   24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 137   24.00      0  45        1         0
#> 67    24.00      0  25        0         0
#> 118   24.00      0  44        1         0
#> 112.3 24.00      0  61        0         0
#> 172   24.00      0  41        0         0
#> 126   24.00      0  48        0         0
#> 160   24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 94.1  24.00      0  51        0         1
#> 71    24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 28.2  24.00      0  67        1         0
#> 121   24.00      0  57        1         0
#> 84.1  24.00      0  39        0         1
#> 73.1  24.00      0  NA        0         1
#> 17.1  24.00      0  38        0         1
#> 17.2  24.00      0  38        0         1
#> 146   24.00      0  63        1         0
#> 137.1 24.00      0  45        1         0
#> 98    24.00      0  34        1         0
#> 151   24.00      0  42        0         0
#> 200.4 24.00      0  64        0         0
#> 165.1 24.00      0  47        0         0
#> 174   24.00      0  49        1         0
#> 144   24.00      0  28        0         1
#> 120   24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 31    24.00      0  36        0         1
#> 196.1 24.00      0  19        0         0
#> 35    24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 46.1  24.00      0  71        0         0
#> 74    24.00      0  43        0         1
#> 74.1  24.00      0  43        0         1
#> 151.1 24.00      0  42        0         0
#> 62    24.00      0  71        0         0
#> 21    24.00      0  47        0         0
#> 138   24.00      0  44        1         0
#> 31.1  24.00      0  36        0         1
#> 103   24.00      0  56        1         0
#> 31.2  24.00      0  36        0         1
#> 74.2  24.00      0  43        0         1
#> 112.4 24.00      0  61        0         0
#> 143.1 24.00      0  51        0         0
#> 118.1 24.00      0  44        1         0
#> 151.2 24.00      0  42        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.911         NA        NA      NA
#> 2 age, Cure model           0.0142        NA        NA      NA
#> 3 grade_ii, Cure model      0.589         NA        NA      NA
#> 4 grade_iii, Cure model     0.817         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00554        NA        NA      NA
#> 2 grade_ii, Survival model   0.417          NA        NA      NA
#> 3 grade_iii, Survival model  0.0853         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.91064           0.01417           0.58925           0.81743  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 252 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.91064110       0.01416673       0.58924829       0.81743345 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005544737      0.416547623      0.085280668 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.69237425 0.71487129 0.65323467 0.80917225 0.49888833 0.69237425
#>   [7] 0.27306353 0.67676019 0.78084166 0.48038287 0.89792308 0.08307558
#>  [13] 0.78084166 0.30180641 0.05572095 0.76652935 0.57898953 0.14721847
#>  [19] 0.79505713 0.95000752 0.90453700 0.96265285 0.98145140 0.92417726
#>  [25] 0.61243146 0.74475650 0.85086123 0.72241794 0.39270366 0.96894668
#>  [31] 0.55337803 0.91764381 0.59571128 0.28757212 0.91110070 0.18115409
#>  [37] 0.63706876 0.95000752 0.34880530 0.83712413 0.87126585 0.57898953
#>  [43] 0.55337803 0.02478749 0.72993360 0.21267288 0.39270366 0.18115409
#>  [49] 0.30180641 0.33706564 0.48038287 0.45212814 0.76652935 0.43306367
#>  [55] 0.65323467 0.82317280 0.75930863 0.30180641 0.51731224 0.39270366
#>  [61] 0.83712413 0.55337803 0.38158987 0.10663185 0.24326101 0.25828699
#>  [67] 0.43306367 0.60410385 0.53552703 0.21267288 0.86448491 0.53552703
#>  [73] 0.45212814 0.42283882 0.88469277 0.97521550 0.88469277 0.62885903
#>  [79] 0.34880530 0.14721847 0.82317280 0.67676019 0.75206742 0.93068985
#>  [85] 0.80917225 0.52643493 0.50814717 0.94358799 0.73735760 0.93068985
#>  [91] 0.87126585 0.65323467 0.85086123 0.64517506 0.34880530 0.61243146
#>  [97] 0.98765610 0.47095075 0.79505713 0.99383832 0.12797817 0.69237425
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    79   188   192    13    76  79.1    66     5   133    58    43    86 133.1 
#> 16.23 16.16 16.44 14.34 19.22 16.23 22.13 16.43 14.65 19.34 12.10 23.81 14.65 
#>   139    78   180   134    69    57   187   107   183    70    52   117    29 
#> 21.49 23.88 14.82 17.81 23.23 14.46  9.92 11.18  9.24  7.38 10.42 17.46 15.45 
#>   177   100   190    16    40    10   184   136   159    92   106 187.1    99 
#> 12.53 16.07 20.81  8.71 18.00 10.53 17.77 21.83 10.55 22.92 16.67  9.92 21.19 
#>   123    56 134.1  40.1    24   125   113 190.1  92.1 139.1   153  58.1   166 
#> 13.00 12.21 17.81 18.00 23.89 15.65 22.86 20.81 22.92 21.49 21.33 19.34 19.98 
#> 180.1   158    85    81   157 139.2   179 190.2 123.1  40.2    90   168    63 
#> 14.82 20.14 16.44 14.06 15.10 21.49 18.63 20.81 13.00 18.00 20.94 23.72 22.77 
#>   169 158.1   110    88 113.1    37  88.1 166.1    68    49   149  49.1    30 
#> 22.41 20.14 17.56 18.37 22.86 12.52 18.37 19.98 20.62 12.19  8.37 12.19 17.43 
#>    36  69.1  81.1   5.1    18    93  13.1     8    97   145    39  93.1  56.1 
#> 21.19 23.23 14.06 16.43 15.21 10.33 14.34 18.43 19.14 10.07 15.59 10.33 12.21 
#>  85.1 177.1   130  36.1 117.1    77   105  57.1   127   164  79.2   119   182 
#> 16.44 12.53 16.47 21.19 17.46  7.27 19.75 14.46  3.53 23.60 16.23 24.00 24.00 
#>   163   200   162    64    72    27   165  27.1    94    22     2   152   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112    28   173    46 119.1   196    48    65 200.1   122  64.1   142    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104   143 119.2  28.1 173.1 112.1 112.2 200.2 200.3 119.3 161.1   185    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137    67   118 112.3   172   126   160    33  94.1    71     7  28.2   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.1  17.1  17.2   146 137.1    98   151 200.4 165.1   174   144   120   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31 196.1    35    20  46.1    74  74.1 151.1    62    21   138  31.1   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.2  74.2 112.4 143.1 118.1 151.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[11]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01063469                0.57257328                0.19079521 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            0.0451820850           -0.0009253189           -0.2604948899 
#>   grade_iii, Cure model 
#>            0.8541658539 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 106   16.67      1  49        1         0
#> 63    22.77      1  31        1         0
#> 56    12.21      1  60        0         0
#> 43    12.10      1  61        0         1
#> 15    22.68      1  48        0         0
#> 188   16.16      1  46        0         1
#> 140   12.68      1  59        1         0
#> 10    10.53      1  34        0         0
#> 58    19.34      1  39        0         0
#> 61    10.12      1  36        0         1
#> 5     16.43      1  51        0         1
#> 184   17.77      1  38        0         0
#> 136   21.83      1  43        0         1
#> 157.1 15.10      1  47        0         0
#> 153   21.33      1  55        1         0
#> 99    21.19      1  38        0         1
#> 183    9.24      1  67        1         0
#> 14    12.89      1  21        0         0
#> 130   16.47      1  53        0         1
#> 189   10.51      1  NA        1         0
#> 14.1  12.89      1  21        0         0
#> 150   20.33      1  48        0         0
#> 36    21.19      1  48        0         1
#> 159   10.55      1  50        0         1
#> 60    13.15      1  38        1         0
#> 181   16.46      1  45        0         1
#> 77     7.27      1  67        0         1
#> 194   22.40      1  38        0         1
#> 129   23.41      1  53        1         0
#> 29    15.45      1  68        1         0
#> 107   11.18      1  54        1         0
#> 194.1 22.40      1  38        0         1
#> 24    23.89      1  38        0         0
#> 13    14.34      1  54        0         1
#> 117   17.46      1  26        0         1
#> 108   18.29      1  39        0         1
#> 170   19.54      1  43        0         1
#> 4     17.64      1  NA        0         1
#> 199   19.81      1  NA        0         1
#> 157.2 15.10      1  47        0         0
#> 192   16.44      1  31        1         0
#> 128   20.35      1  35        0         1
#> 192.1 16.44      1  31        1         0
#> 154   12.63      1  20        1         0
#> 145   10.07      1  65        1         0
#> 166   19.98      1  48        0         0
#> 153.1 21.33      1  55        1         0
#> 179   18.63      1  42        0         0
#> 169   22.41      1  46        0         0
#> 6     15.64      1  39        0         0
#> 6.1   15.64      1  39        0         0
#> 127    3.53      1  62        0         1
#> 168   23.72      1  70        0         0
#> 43.1  12.10      1  61        0         1
#> 4.1   17.64      1  NA        0         1
#> 105   19.75      1  60        0         0
#> 199.1 19.81      1  NA        0         1
#> 52    10.42      1  52        0         1
#> 70     7.38      1  30        1         0
#> 60.1  13.15      1  38        1         0
#> 171   16.57      1  41        0         1
#> 181.1 16.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 189.1 10.51      1  NA        1         0
#> 199.2 19.81      1  NA        0         1
#> 92    22.92      1  47        0         1
#> 69    23.23      1  25        0         1
#> 89    11.44      1  NA        0         0
#> 164   23.60      1  76        0         1
#> 76    19.22      1  54        0         1
#> 57    14.46      1  45        0         1
#> 81    14.06      1  34        0         0
#> 168.1 23.72      1  70        0         0
#> 14.2  12.89      1  21        0         0
#> 105.1 19.75      1  60        0         0
#> 157.3 15.10      1  47        0         0
#> 97    19.14      1  65        0         1
#> 157.4 15.10      1  47        0         0
#> 145.1 10.07      1  65        1         0
#> 4.2   17.64      1  NA        0         1
#> 29.1  15.45      1  68        1         0
#> 23    16.92      1  61        0         0
#> 37    12.52      1  57        1         0
#> 194.2 22.40      1  38        0         1
#> 55    19.34      1  69        0         1
#> 77.1   7.27      1  67        0         1
#> 168.2 23.72      1  70        0         0
#> 139   21.49      1  63        1         0
#> 56.1  12.21      1  60        0         0
#> 89.1  11.44      1  NA        0         0
#> 101    9.97      1  10        0         1
#> 145.2 10.07      1  65        1         0
#> 140.1 12.68      1  59        1         0
#> 10.1  10.53      1  34        0         0
#> 99.1  21.19      1  38        0         1
#> 111   17.45      1  47        0         1
#> 81.1  14.06      1  34        0         0
#> 52.1  10.42      1  52        0         1
#> 100   16.07      1  60        0         0
#> 187    9.92      1  39        1         0
#> 157.5 15.10      1  47        0         0
#> 184.1 17.77      1  38        0         0
#> 25     6.32      1  34        1         0
#> 140.2 12.68      1  59        1         0
#> 170.1 19.54      1  43        0         1
#> 61.1  10.12      1  36        0         1
#> 168.3 23.72      1  70        0         0
#> 56.2  12.21      1  60        0         0
#> 153.2 21.33      1  55        1         0
#> 127.1  3.53      1  62        0         1
#> 70.1   7.38      1  30        1         0
#> 20    24.00      0  46        1         0
#> 186   24.00      0  45        1         0
#> 191   24.00      0  60        0         1
#> 191.1 24.00      0  60        0         1
#> 75    24.00      0  21        1         0
#> 64    24.00      0  43        0         0
#> 74    24.00      0  43        0         1
#> 33    24.00      0  53        0         0
#> 7     24.00      0  37        1         0
#> 103   24.00      0  56        1         0
#> 82    24.00      0  34        0         0
#> 47    24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 138   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 71    24.00      0  51        0         0
#> 46.1  24.00      0  71        0         0
#> 162   24.00      0  51        0         0
#> 74.1  24.00      0  43        0         1
#> 54    24.00      0  53        1         0
#> 3     24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 87    24.00      0  27        0         0
#> 142.1 24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 174   24.00      0  49        1         0
#> 34    24.00      0  36        0         0
#> 137   24.00      0  45        1         0
#> 31    24.00      0  36        0         1
#> 138.1 24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 120   24.00      0  68        0         1
#> 146   24.00      0  63        1         0
#> 71.1  24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 84    24.00      0  39        0         1
#> 142.2 24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 103.1 24.00      0  56        1         0
#> 54.1  24.00      0  53        1         0
#> 185   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 152   24.00      0  36        0         1
#> 141.1 24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 191.2 24.00      0  60        0         1
#> 80    24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 20.1  24.00      0  46        1         0
#> 53    24.00      0  32        0         1
#> 148.1 24.00      0  61        1         0
#> 178   24.00      0  52        1         0
#> 103.2 24.00      0  56        1         0
#> 87.1  24.00      0  27        0         0
#> 120.1 24.00      0  68        0         1
#> 178.1 24.00      0  52        1         0
#> 141.2 24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 152.1 24.00      0  36        0         1
#> 112.1 24.00      0  61        0         0
#> 132   24.00      0  55        0         0
#> 33.1  24.00      0  53        0         0
#> 21.1  24.00      0  47        0         0
#> 163   24.00      0  66        0         0
#> 132.1 24.00      0  55        0         0
#> 141.3 24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 22    24.00      0  52        1         0
#> 115   24.00      0  NA        1         0
#> 12    24.00      0  63        0         0
#> 104   24.00      0  50        1         0
#> 104.1 24.00      0  50        1         0
#> 33.2  24.00      0  53        0         0
#> 12.1  24.00      0  63        0         0
#> 64.1  24.00      0  43        0         0
#> 186.1 24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 178.2 24.00      0  52        1         0
#> 160   24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 65    24.00      0  57        1         0
#> 161   24.00      0  45        0         0
#> 102   24.00      0  49        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0452          NA        NA      NA
#> 2 age, Cure model         -0.000925        NA        NA      NA
#> 3 grade_ii, Cure model    -0.260           NA        NA      NA
#> 4 grade_iii, Cure model    0.854           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0106        NA        NA      NA
#> 2 grade_ii, Survival model    0.573         NA        NA      NA
#> 3 grade_iii, Survival model   0.191         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        0.0451821        -0.0009253        -0.2604949         0.8541659  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 251.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     0.0451820850    -0.0009253189    -0.2604948899     0.8541658539 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01063469       0.57257328       0.19079521 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.4591442440 0.3139664236 0.0424084458 0.6840532569 0.7190501987
#>   [6] 0.0488687486 0.3957022219 0.6264992687 0.7669222331 0.2087543499
#>  [11] 0.8154595468 0.3853599178 0.2646013338 0.0832152195 0.4591442440
#>  [16] 0.0984560094 0.1197437270 0.9013813511 0.5922112592 0.3342677572
#>  [21] 0.5922112592 0.1578436042 0.1197437270 0.7548640308 0.5693935063
#>  [26] 0.3445505349 0.9381537786 0.0628521815 0.0229435104 0.4378273596
#>  [31] 0.7428612227 0.0628521815 0.0007829461 0.5349381284 0.2839733241
#>  [36] 0.2549704015 0.1913705803 0.4591442440 0.3651117892 0.1498384892
#>  [41] 0.3651117892 0.6608882192 0.8399694351 0.1660144391 0.0984560094
#>  [46] 0.2454119480 0.0556904128 0.4166547578 0.4166547578 0.9751812110
#>  [51] 0.0035018441 0.7190501987 0.1743493254 0.7910777571 0.9137578262
#>  [56] 0.5693935063 0.3240825098 0.3445505349 0.1419037904 0.0356685300
#>  [61] 0.0292534120 0.0166293964 0.2267055978 0.5235471586 0.5464068905
#>  [66] 0.0035018441 0.5922112592 0.1743493254 0.4591442440 0.2359857798
#>  [71] 0.4591442440 0.8399694351 0.4378273596 0.3038331212 0.6724674394
#>  [76] 0.0628521815 0.2087543499 0.9381537786 0.0035018441 0.0908057656
#>  [81] 0.6840532569 0.8766432965 0.8399694351 0.6264992687 0.7669222331
#>  [86] 0.1197437270 0.2938586103 0.5464068905 0.7910777571 0.4061147507
#>  [91] 0.8890270320 0.4591442440 0.2646013338 0.9628103948 0.6264992687
#>  [96] 0.1913705803 0.8154595468 0.0035018441 0.6840532569 0.0984560094
#> [101] 0.9751812110 0.9137578262 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   157   106    63    56    43    15   188   140    10    58    61     5   184 
#> 15.10 16.67 22.77 12.21 12.10 22.68 16.16 12.68 10.53 19.34 10.12 16.43 17.77 
#>   136 157.1   153    99   183    14   130  14.1   150    36   159    60   181 
#> 21.83 15.10 21.33 21.19  9.24 12.89 16.47 12.89 20.33 21.19 10.55 13.15 16.46 
#>    77   194   129    29   107 194.1    24    13   117   108   170 157.2   192 
#>  7.27 22.40 23.41 15.45 11.18 22.40 23.89 14.34 17.46 18.29 19.54 15.10 16.44 
#>   128 192.1   154   145   166 153.1   179   169     6   6.1   127   168  43.1 
#> 20.35 16.44 12.63 10.07 19.98 21.33 18.63 22.41 15.64 15.64  3.53 23.72 12.10 
#>   105    52    70  60.1   171 181.1    90    92    69   164    76    57    81 
#> 19.75 10.42  7.38 13.15 16.57 16.46 20.94 22.92 23.23 23.60 19.22 14.46 14.06 
#> 168.1  14.2 105.1 157.3    97 157.4 145.1  29.1    23    37 194.2    55  77.1 
#> 23.72 12.89 19.75 15.10 19.14 15.10 10.07 15.45 16.92 12.52 22.40 19.34  7.27 
#> 168.2   139  56.1   101 145.2 140.1  10.1  99.1   111  81.1  52.1   100   187 
#> 23.72 21.49 12.21  9.97 10.07 12.68 10.53 21.19 17.45 14.06 10.42 16.07  9.92 
#> 157.5 184.1    25 140.2 170.1  61.1 168.3  56.2 153.2 127.1  70.1    20   186 
#> 15.10 17.77  6.32 12.68 19.54 10.12 23.72 12.21 21.33  3.53  7.38 24.00 24.00 
#>   191 191.1    75    64    74    33     7   103    82    47   142   138    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71  46.1   162  74.1    54     3   141    87 142.1    38   126   174    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137    31 138.1   112   120   146  71.1    11    84 142.2   148 103.1  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185    21   152 141.1    98 191.2    80    83  20.1    53 148.1   178 103.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1 120.1 178.1 141.2   144 152.1 112.1   132  33.1  21.1   163 132.1 141.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198    22    12   104 104.1  33.2  12.1  64.1 186.1   131 178.2   160   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165   122    48    17    65   161   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[12]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006726794               0.349606355               0.348058369 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.078141109            -0.003348138             0.133953413 
#>   grade_iii, Cure model 
#>             1.589327659 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 58    19.34      1  39        0         0
#> 91     5.33      1  61        0         1
#> 86    23.81      1  58        0         1
#> 86.1  23.81      1  58        0         1
#> 51    18.23      1  83        0         1
#> 97    19.14      1  65        0         1
#> 4     17.64      1  NA        0         1
#> 24    23.89      1  38        0         0
#> 14    12.89      1  21        0         0
#> 175   21.91      1  43        0         0
#> 111   17.45      1  47        0         1
#> 32    20.90      1  37        1         0
#> 199   19.81      1  NA        0         1
#> 154   12.63      1  20        1         0
#> 81    14.06      1  34        0         0
#> 189   10.51      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 127    3.53      1  62        0         1
#> 157   15.10      1  47        0         0
#> 164   23.60      1  76        0         1
#> 154.1 12.63      1  20        1         0
#> 77     7.27      1  67        0         1
#> 197   21.60      1  69        1         0
#> 56    12.21      1  60        0         0
#> 70     7.38      1  30        1         0
#> 105   19.75      1  60        0         0
#> 56.1  12.21      1  60        0         0
#> 45    17.42      1  54        0         1
#> 6     15.64      1  39        0         0
#> 43    12.10      1  61        0         1
#> 13    14.34      1  54        0         1
#> 56.2  12.21      1  60        0         0
#> 8     18.43      1  32        0         0
#> 60    13.15      1  38        1         0
#> 101    9.97      1  10        0         1
#> 36    21.19      1  48        0         1
#> 177   12.53      1  75        0         0
#> 197.1 21.60      1  69        1         0
#> 16     8.71      1  71        0         1
#> 4.1   17.64      1  NA        0         1
#> 179   18.63      1  42        0         0
#> 63    22.77      1  31        1         0
#> 78    23.88      1  43        0         0
#> 60.1  13.15      1  38        1         0
#> 107   11.18      1  54        1         0
#> 108   18.29      1  39        0         1
#> 166   19.98      1  48        0         0
#> 149    8.37      1  33        1         0
#> 99    21.19      1  38        0         1
#> 43.1  12.10      1  61        0         1
#> 133   14.65      1  57        0         0
#> 23    16.92      1  61        0         0
#> 69    23.23      1  25        0         1
#> 111.1 17.45      1  47        0         1
#> 43.2  12.10      1  61        0         1
#> 29    15.45      1  68        1         0
#> 111.2 17.45      1  47        0         1
#> 190   20.81      1  42        1         0
#> 68    20.62      1  44        0         0
#> 88    18.37      1  47        0         0
#> 108.1 18.29      1  39        0         1
#> 90    20.94      1  50        0         1
#> 170   19.54      1  43        0         1
#> 167   15.55      1  56        1         0
#> 128   20.35      1  35        0         1
#> 105.1 19.75      1  60        0         0
#> 24.1  23.89      1  38        0         0
#> 177.1 12.53      1  75        0         0
#> 140   12.68      1  59        1         0
#> 89    11.44      1  NA        0         0
#> 32.1  20.90      1  37        1         0
#> 41    18.02      1  40        1         0
#> 117   17.46      1  26        0         1
#> 23.1  16.92      1  61        0         0
#> 8.1   18.43      1  32        0         0
#> 52    10.42      1  52        0         1
#> 189.1 10.51      1  NA        1         0
#> 58.1  19.34      1  39        0         0
#> 10    10.53      1  34        0         0
#> 192   16.44      1  31        1         0
#> 56.3  12.21      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 125   15.65      1  67        1         0
#> 150   20.33      1  48        0         0
#> 107.1 11.18      1  54        1         0
#> 101.1  9.97      1  10        0         1
#> 187    9.92      1  39        1         0
#> 13.1  14.34      1  54        0         1
#> 177.2 12.53      1  75        0         0
#> 43.3  12.10      1  61        0         1
#> 91.1   5.33      1  61        0         1
#> 51.1  18.23      1  83        0         1
#> 85    16.44      1  36        0         0
#> 40    18.00      1  28        1         0
#> 50    10.02      1  NA        1         0
#> 91.2   5.33      1  61        0         1
#> 5     16.43      1  51        0         1
#> 139   21.49      1  63        1         0
#> 107.2 11.18      1  54        1         0
#> 59    10.16      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 13.2  14.34      1  54        0         1
#> 56.4  12.21      1  60        0         0
#> 117.1 17.46      1  26        0         1
#> 179.1 18.63      1  42        0         0
#> 63.1  22.77      1  31        1         0
#> 70.1   7.38      1  30        1         0
#> 127.1  3.53      1  62        0         1
#> 43.4  12.10      1  61        0         1
#> 127.2  3.53      1  62        0         1
#> 5.1   16.43      1  51        0         1
#> 24.2  23.89      1  38        0         0
#> 21    24.00      0  47        0         0
#> 75    24.00      0  21        1         0
#> 47    24.00      0  38        0         1
#> 165   24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 120   24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 148   24.00      0  61        1         0
#> 178   24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 174   24.00      0  49        1         0
#> 198   24.00      0  66        0         1
#> 196   24.00      0  19        0         0
#> 87    24.00      0  27        0         0
#> 17    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 73    24.00      0  NA        0         1
#> 46    24.00      0  71        0         0
#> 147.1 24.00      0  76        1         0
#> 182   24.00      0  35        0         0
#> 28    24.00      0  67        1         0
#> 135   24.00      0  58        1         0
#> 102.1 24.00      0  49        0         0
#> 144   24.00      0  28        0         1
#> 142   24.00      0  53        0         0
#> 146.1 24.00      0  63        1         0
#> 142.1 24.00      0  53        0         0
#> 148.1 24.00      0  61        1         0
#> 102.2 24.00      0  49        0         0
#> 186   24.00      0  45        1         0
#> 115   24.00      0  NA        1         0
#> 21.1  24.00      0  47        0         0
#> 182.1 24.00      0  35        0         0
#> 115.1 24.00      0  NA        1         0
#> 163   24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 148.2 24.00      0  61        1         0
#> 80    24.00      0  41        0         0
#> 115.2 24.00      0  NA        1         0
#> 172.1 24.00      0  41        0         0
#> 44    24.00      0  56        0         0
#> 148.3 24.00      0  61        1         0
#> 83    24.00      0   6        0         0
#> 122   24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 200   24.00      0  64        0         0
#> 143.1 24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 198.1 24.00      0  66        0         1
#> 54    24.00      0  53        1         0
#> 38    24.00      0  31        1         0
#> 186.1 24.00      0  45        1         0
#> 121   24.00      0  57        1         0
#> 21.2  24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 17.1  24.00      0  38        0         1
#> 38.1  24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 82    24.00      0  34        0         0
#> 64    24.00      0  43        0         0
#> 132   24.00      0  55        0         0
#> 46.1  24.00      0  71        0         0
#> 80.1  24.00      0  41        0         0
#> 196.1 24.00      0  19        0         0
#> 72    24.00      0  40        0         1
#> 146.2 24.00      0  63        1         0
#> 28.1  24.00      0  67        1         0
#> 12    24.00      0  63        0         0
#> 148.4 24.00      0  61        1         0
#> 21.3  24.00      0  47        0         0
#> 2     24.00      0   9        0         0
#> 104   24.00      0  50        1         0
#> 80.2  24.00      0  41        0         0
#> 103.1 24.00      0  56        1         0
#> 53    24.00      0  32        0         1
#> 35    24.00      0  51        0         0
#> 200.1 24.00      0  64        0         0
#> 34    24.00      0  36        0         0
#> 163.1 24.00      0  66        0         0
#> 44.1  24.00      0  56        0         0
#> 98    24.00      0  34        1         0
#> 185.1 24.00      0  44        1         0
#> 75.1  24.00      0  21        1         0
#> 17.2  24.00      0  38        0         1
#> 87.1  24.00      0  27        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0781         NA        NA      NA
#> 2 age, Cure model         -0.00335        NA        NA      NA
#> 3 grade_ii, Cure model     0.134          NA        NA      NA
#> 4 grade_iii, Cure model    1.59           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00673        NA        NA      NA
#> 2 grade_ii, Survival model   0.350          NA        NA      NA
#> 3 grade_iii, Survival model  0.348          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.078141         -0.003348          0.133953          1.589328  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 238.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.078141109     -0.003348138      0.133953413      1.589327659 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006726794      0.349606355      0.348058369 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.4683145 0.9672876 0.1676623 0.1676623 0.5611644 0.4875787 0.0637868
#>   [8] 0.7788518 0.2738423 0.6113525 0.3640958 0.7922109 0.7586501 0.9616419
#>  [15] 0.9838001 0.7170485 0.2074443 0.7922109 0.9559700 0.2892565 0.8245832
#>  [22] 0.9445776 0.4385814 0.8245832 0.6347981 0.6952997 0.8558459 0.7383272
#>  [29] 0.8245832 0.5156761 0.7654701 0.9154792 0.3287274 0.8053148 0.2892565
#>  [36] 0.9330206 0.4970816 0.2433226 0.1383773 0.7654701 0.8858645 0.5433495
#>  [43] 0.4282932 0.9388128 0.3287274 0.8558459 0.7241841 0.6426106 0.2258638
#>  [50] 0.6113525 0.8558459 0.7098863 0.6113525 0.3859262 0.3967270 0.5341110
#>  [57] 0.5433495 0.3524302 0.4584584 0.7026334 0.4074276 0.4385814 0.0637868
#>  [64] 0.8053148 0.7855628 0.3640958 0.5781824 0.5950263 0.6426106 0.5156761
#>  [71] 0.9095700 0.4683145 0.9036218 0.6579525 0.8245832 0.6879427 0.4179100
#>  [78] 0.8858645 0.9154792 0.9271819 0.7383272 0.8053148 0.8558459 0.9672876
#>  [85] 0.5611644 0.6579525 0.5866474 0.9672876 0.6731139 0.3158079 0.8858645
#>  [92] 0.7312870 0.7383272 0.8245832 0.5950263 0.4970816 0.2433226 0.9445776
#>  [99] 0.9838001 0.8558459 0.9838001 0.6731139 0.0637868 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    58    91    86  86.1    51    97    24    14   175   111    32   154    81 
#> 19.34  5.33 23.81 23.81 18.23 19.14 23.89 12.89 21.91 17.45 20.90 12.63 14.06 
#>    25   127   157   164 154.1    77   197    56    70   105  56.1    45     6 
#>  6.32  3.53 15.10 23.60 12.63  7.27 21.60 12.21  7.38 19.75 12.21 17.42 15.64 
#>    43    13  56.2     8    60   101    36   177 197.1    16   179    63    78 
#> 12.10 14.34 12.21 18.43 13.15  9.97 21.19 12.53 21.60  8.71 18.63 22.77 23.88 
#>  60.1   107   108   166   149    99  43.1   133    23    69 111.1  43.2    29 
#> 13.15 11.18 18.29 19.98  8.37 21.19 12.10 14.65 16.92 23.23 17.45 12.10 15.45 
#> 111.2   190    68    88 108.1    90   170   167   128 105.1  24.1 177.1   140 
#> 17.45 20.81 20.62 18.37 18.29 20.94 19.54 15.55 20.35 19.75 23.89 12.53 12.68 
#>  32.1    41   117  23.1   8.1    52  58.1    10   192  56.3   125   150 107.1 
#> 20.90 18.02 17.46 16.92 18.43 10.42 19.34 10.53 16.44 12.21 15.65 20.33 11.18 
#> 101.1   187  13.1 177.2  43.3  91.1  51.1    85    40  91.2     5   139 107.2 
#>  9.97  9.92 14.34 12.53 12.10  5.33 18.23 16.44 18.00  5.33 16.43 21.49 11.18 
#>    57  13.2  56.4 117.1 179.1  63.1  70.1 127.1  43.4 127.2   5.1  24.2    21 
#> 14.46 14.34 12.21 17.46 18.63 22.77  7.38  3.53 12.10  3.53 16.43 23.89 24.00 
#>    75    47   165   146   120   143   131   102   148   178    20   174   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196    87    17   147    46 147.1   182    28   135 102.1   144   142 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1 148.1 102.2   186  21.1 182.1   163   172 148.2    80 172.1    44 148.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83   122   103   200 143.1   119 198.1    54    38 186.1   121  21.2   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1  38.1   185    95    82    64   132  46.1  80.1 196.1    72 146.2  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12 148.4  21.3     2   104  80.2 103.1    53    35 200.1    34 163.1  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98 185.1  75.1  17.2  87.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[13]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.00524814                0.57112537                0.11632400 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -1.096175921             0.022008623            -0.008782883 
#>   grade_iii, Cure model 
#>             0.790285058 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 99    21.19      1  38        0         1
#> 79    16.23      1  54        1         0
#> 101    9.97      1  10        0         1
#> 93    10.33      1  52        0         1
#> 37    12.52      1  57        1         0
#> 149    8.37      1  33        1         0
#> 89    11.44      1  NA        0         0
#> 70     7.38      1  30        1         0
#> 4     17.64      1  NA        0         1
#> 29    15.45      1  68        1         0
#> 125   15.65      1  67        1         0
#> 23    16.92      1  61        0         0
#> 177   12.53      1  75        0         0
#> 110   17.56      1  65        0         1
#> 155   13.08      1  26        0         0
#> 130   16.47      1  53        0         1
#> 69    23.23      1  25        0         1
#> 41    18.02      1  40        1         0
#> 179   18.63      1  42        0         0
#> 133   14.65      1  57        0         0
#> 51    18.23      1  83        0         1
#> 97    19.14      1  65        0         1
#> 177.1 12.53      1  75        0         0
#> 125.1 15.65      1  67        1         0
#> 51.1  18.23      1  83        0         1
#> 97.1  19.14      1  65        0         1
#> 52    10.42      1  52        0         1
#> 136   21.83      1  43        0         1
#> 24    23.89      1  38        0         0
#> 10    10.53      1  34        0         0
#> 164   23.60      1  76        0         1
#> 184   17.77      1  38        0         0
#> 190   20.81      1  42        1         0
#> 18    15.21      1  49        1         0
#> 177.2 12.53      1  75        0         0
#> 134   17.81      1  47        1         0
#> 155.1 13.08      1  26        0         0
#> 188   16.16      1  46        0         1
#> 29.1  15.45      1  68        1         0
#> 6     15.64      1  39        0         0
#> 51.2  18.23      1  83        0         1
#> 8     18.43      1  32        0         0
#> 77     7.27      1  67        0         1
#> 24.1  23.89      1  38        0         0
#> 99.1  21.19      1  38        0         1
#> 8.1   18.43      1  32        0         0
#> 51.3  18.23      1  83        0         1
#> 6.1   15.64      1  39        0         0
#> 63    22.77      1  31        1         0
#> 117   17.46      1  26        0         1
#> 89.1  11.44      1  NA        0         0
#> 92    22.92      1  47        0         1
#> 170   19.54      1  43        0         1
#> 170.1 19.54      1  43        0         1
#> 188.1 16.16      1  46        0         1
#> 13    14.34      1  54        0         1
#> 134.1 17.81      1  47        1         0
#> 16     8.71      1  71        0         1
#> 4.1   17.64      1  NA        0         1
#> 130.1 16.47      1  53        0         1
#> 23.1  16.92      1  61        0         0
#> 49    12.19      1  48        1         0
#> 36    21.19      1  48        0         1
#> 129   23.41      1  53        1         0
#> 108   18.29      1  39        0         1
#> 128   20.35      1  35        0         1
#> 167   15.55      1  56        1         0
#> 24.2  23.89      1  38        0         0
#> 166   19.98      1  48        0         0
#> 168   23.72      1  70        0         0
#> 136.1 21.83      1  43        0         1
#> 76    19.22      1  54        0         1
#> 52.1  10.42      1  52        0         1
#> 37.1  12.52      1  57        1         0
#> 68    20.62      1  44        0         0
#> 37.2  12.52      1  57        1         0
#> 6.2   15.64      1  39        0         0
#> 197   21.60      1  69        1         0
#> 78    23.88      1  43        0         0
#> 111   17.45      1  47        0         1
#> 133.1 14.65      1  57        0         0
#> 52.2  10.42      1  52        0         1
#> 50    10.02      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 111.1 17.45      1  47        0         1
#> 125.2 15.65      1  67        1         0
#> 145   10.07      1  65        1         0
#> 181   16.46      1  45        0         1
#> 97.2  19.14      1  65        0         1
#> 57    14.46      1  45        0         1
#> 136.2 21.83      1  43        0         1
#> 183    9.24      1  67        1         0
#> 154.1 12.63      1  20        1         0
#> 81    14.06      1  34        0         0
#> 85    16.44      1  36        0         0
#> 128.1 20.35      1  35        0         1
#> 56    12.21      1  60        0         0
#> 159   10.55      1  50        0         1
#> 70.1   7.38      1  30        1         0
#> 150   20.33      1  48        0         0
#> 145.1 10.07      1  65        1         0
#> 188.2 16.16      1  46        0         1
#> 85.1  16.44      1  36        0         0
#> 158   20.14      1  74        1         0
#> 155.2 13.08      1  26        0         0
#> 30    17.43      1  78        0         0
#> 123   13.00      1  44        1         0
#> 189   10.51      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 69.1  23.23      1  25        0         1
#> 175   21.91      1  43        0         0
#> 8.2   18.43      1  32        0         0
#> 64    24.00      0  43        0         0
#> 44    24.00      0  56        0         0
#> 75    24.00      0  21        1         0
#> 62    24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 161   24.00      0  45        0         0
#> 161.1 24.00      0  45        0         0
#> 11    24.00      0  42        0         1
#> 119   24.00      0  17        0         0
#> 35    24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 119.1 24.00      0  17        0         0
#> 21    24.00      0  47        0         0
#> 2     24.00      0   9        0         0
#> 72    24.00      0  40        0         1
#> 162   24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 44.1  24.00      0  56        0         0
#> 20    24.00      0  46        1         0
#> 196   24.00      0  19        0         0
#> 104   24.00      0  50        1         0
#> 174   24.00      0  49        1         0
#> 174.1 24.00      0  49        1         0
#> 75.1  24.00      0  21        1         0
#> 147   24.00      0  76        1         0
#> 65    24.00      0  57        1         0
#> 185   24.00      0  44        1         0
#> 147.1 24.00      0  76        1         0
#> 185.1 24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 148.1 24.00      0  61        1         0
#> 11.1  24.00      0  42        0         1
#> 163   24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 64.1  24.00      0  43        0         0
#> 102   24.00      0  49        0         0
#> 185.2 24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 38    24.00      0  31        1         0
#> 148.2 24.00      0  61        1         0
#> 82    24.00      0  34        0         0
#> 200   24.00      0  64        0         0
#> 176   24.00      0  43        0         1
#> 28    24.00      0  67        1         0
#> 193   24.00      0  45        0         1
#> 186   24.00      0  45        1         0
#> 1     24.00      0  23        1         0
#> 34    24.00      0  36        0         0
#> 75.2  24.00      0  21        1         0
#> 109   24.00      0  48        0         0
#> 193.1 24.00      0  45        0         1
#> 64.2  24.00      0  43        0         0
#> 27    24.00      0  63        1         0
#> 64.3  24.00      0  43        0         0
#> 137   24.00      0  45        1         0
#> 161.2 24.00      0  45        0         0
#> 120   24.00      0  68        0         1
#> 31    24.00      0  36        0         1
#> 83    24.00      0   6        0         0
#> 119.2 24.00      0  17        0         0
#> 94    24.00      0  51        0         1
#> 144   24.00      0  28        0         1
#> 34.1  24.00      0  36        0         0
#> 131   24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 143   24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 186.1 24.00      0  45        1         0
#> 148.3 24.00      0  61        1         0
#> 144.1 24.00      0  28        0         1
#> 102.1 24.00      0  49        0         0
#> 35.1  24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 47    24.00      0  38        0         1
#> 143.1 24.00      0  51        0         0
#> 102.2 24.00      0  49        0         0
#> 185.3 24.00      0  44        1         0
#> 104.1 24.00      0  50        1         0
#> 11.2  24.00      0  42        0         1
#> 173.1 24.00      0  19        0         1
#> 3     24.00      0  31        1         0
#> 104.2 24.00      0  50        1         0
#> 191   24.00      0  60        0         1
#> 21.1  24.00      0  47        0         0
#> 67    24.00      0  25        0         0
#> 11.3  24.00      0  42        0         1
#> 152   24.00      0  36        0         1
#> 27.1  24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -1.10           NA        NA      NA
#> 2 age, Cure model          0.0220         NA        NA      NA
#> 3 grade_ii, Cure model    -0.00878        NA        NA      NA
#> 4 grade_iii, Cure model    0.790          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00525        NA        NA      NA
#> 2 grade_ii, Survival model   0.571          NA        NA      NA
#> 3 grade_iii, Survival model  0.116          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -1.096176          0.022009         -0.008783          0.790285  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 255.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -1.096175921      0.022008623     -0.008782883      0.790285058 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.00524814       0.57112537       0.11632400 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.32206932 0.69041664 0.95958746 0.94180548 0.88092104 0.97714369
#>   [7] 0.98292498 0.76939341 0.72016666 0.63633668 0.86194090 0.59635662
#>  [13] 0.82291385 0.65195565 0.18463013 0.56339748 0.48409968 0.78966758
#>  [19] 0.52953966 0.45666379 0.86194090 0.72016666 0.52953966 0.45666379
#>  [25] 0.92382422 0.25978145 0.04549267 0.91773438 0.14803500 0.58818471
#>  [31] 0.35476983 0.78294007 0.86194090 0.57190484 0.82291385 0.69799236
#>  [37] 0.76939341 0.74135205 0.52953966 0.49337933 0.99431040 0.04549267
#>  [43] 0.32206932 0.49337933 0.52953966 0.74135205 0.23103914 0.60446411
#>  [49] 0.21550839 0.42763302 0.42763302 0.69799236 0.80965036 0.57190484
#>  [55] 0.97132435 0.65195565 0.63633668 0.90552007 0.32206932 0.16765911
#>  [61] 0.52042457 0.37636406 0.76240087 0.04549267 0.41765898 0.12649421
#>  [67] 0.25978145 0.44698489 0.92382422 0.88092104 0.36560834 0.88092104
#>  [73] 0.74135205 0.29786501 0.10320831 0.61254043 0.78966758 0.92382422
#>  [79] 0.84910374 0.61254043 0.72016666 0.94781946 0.66739575 0.45666379
#>  [85] 0.80298650 0.25978145 0.96548295 0.84910374 0.81628737 0.67512298
#>  [91] 0.37636406 0.89935026 0.91163664 0.98292498 0.39715864 0.94781946
#>  [97] 0.69799236 0.67512298 0.40761625 0.82291385 0.62840477 0.84256484
#> [103] 0.31028846 0.18463013 0.24551662 0.49337933 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>    99    79   101    93    37   149    70    29   125    23   177   110   155 
#> 21.19 16.23  9.97 10.33 12.52  8.37  7.38 15.45 15.65 16.92 12.53 17.56 13.08 
#>   130    69    41   179   133    51    97 177.1 125.1  51.1  97.1    52   136 
#> 16.47 23.23 18.02 18.63 14.65 18.23 19.14 12.53 15.65 18.23 19.14 10.42 21.83 
#>    24    10   164   184   190    18 177.2   134 155.1   188  29.1     6  51.2 
#> 23.89 10.53 23.60 17.77 20.81 15.21 12.53 17.81 13.08 16.16 15.45 15.64 18.23 
#>     8    77  24.1  99.1   8.1  51.3   6.1    63   117    92   170 170.1 188.1 
#> 18.43  7.27 23.89 21.19 18.43 18.23 15.64 22.77 17.46 22.92 19.54 19.54 16.16 
#>    13 134.1    16 130.1  23.1    49    36   129   108   128   167  24.2   166 
#> 14.34 17.81  8.71 16.47 16.92 12.19 21.19 23.41 18.29 20.35 15.55 23.89 19.98 
#>   168 136.1    76  52.1  37.1    68  37.2   6.2   197    78   111 133.1  52.2 
#> 23.72 21.83 19.22 10.42 12.52 20.62 12.52 15.64 21.60 23.88 17.45 14.65 10.42 
#>   154 111.1 125.2   145   181  97.2    57 136.2   183 154.1    81    85 128.1 
#> 12.63 17.45 15.65 10.07 16.46 19.14 14.46 21.83  9.24 12.63 14.06 16.44 20.35 
#>    56   159  70.1   150 145.1 188.2  85.1   158 155.2    30   123   153  69.1 
#> 12.21 10.55  7.38 20.33 10.07 16.16 16.44 20.14 13.08 17.43 13.00 21.33 23.23 
#>   175   8.2    64    44    75    62   146   161 161.1    11   119    35   116 
#> 21.91 18.43 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1    21     2    72   162   172  44.1    20   196   104   174 174.1  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147    65   185 147.1 185.1   148 148.1  11.1   163    53  64.1   102 185.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84    38 148.2    82   200   176    28   193   186     1    34  75.2   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1  64.2    27  64.3   137 161.2   120    31    83 119.2    94   144  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131   173   143   151 186.1 148.3 144.1 102.1  35.1    12    47 143.1 102.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.3 104.1  11.2 173.1     3 104.2   191  21.1    67  11.3   152  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[14]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.00172384                0.82616949                0.56794118 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.71199340              0.01438397              0.12186579 
#>   grade_iii, Cure model 
#>              0.81613005 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 70     7.38      1  30        1         0
#> 105   19.75      1  60        0         0
#> 134   17.81      1  47        1         0
#> 128   20.35      1  35        0         1
#> 52    10.42      1  52        0         1
#> 179   18.63      1  42        0         0
#> 134.1 17.81      1  47        1         0
#> 16     8.71      1  71        0         1
#> 155   13.08      1  26        0         0
#> 189   10.51      1  NA        1         0
#> 128.1 20.35      1  35        0         1
#> 16.1   8.71      1  71        0         1
#> 113   22.86      1  34        0         0
#> 6     15.64      1  39        0         0
#> 91     5.33      1  61        0         1
#> 90    20.94      1  50        0         1
#> 136   21.83      1  43        0         1
#> 85    16.44      1  36        0         0
#> 183    9.24      1  67        1         0
#> 69    23.23      1  25        0         1
#> 23    16.92      1  61        0         0
#> 37    12.52      1  57        1         0
#> 68    20.62      1  44        0         0
#> 101    9.97      1  10        0         1
#> 106   16.67      1  49        1         0
#> 187    9.92      1  39        1         0
#> 101.1  9.97      1  10        0         1
#> 190   20.81      1  42        1         0
#> 107   11.18      1  54        1         0
#> 110   17.56      1  65        0         1
#> 24    23.89      1  38        0         0
#> 99    21.19      1  38        0         1
#> 170   19.54      1  43        0         1
#> 157   15.10      1  47        0         0
#> 167   15.55      1  56        1         0
#> 66    22.13      1  53        0         0
#> 189.1 10.51      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 61    10.12      1  36        0         1
#> 43    12.10      1  61        0         1
#> 139   21.49      1  63        1         0
#> 197   21.60      1  69        1         0
#> 50    10.02      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 37.1  12.52      1  57        1         0
#> 127    3.53      1  62        0         1
#> 45    17.42      1  54        0         1
#> 57    14.46      1  45        0         1
#> 29    15.45      1  68        1         0
#> 124    9.73      1  NA        1         0
#> 16.2   8.71      1  71        0         1
#> 179.1 18.63      1  42        0         0
#> 150   20.33      1  48        0         0
#> 36    21.19      1  48        0         1
#> 70.1   7.38      1  30        1         0
#> 155.1 13.08      1  26        0         0
#> 59    10.16      1  NA        1         0
#> 66.1  22.13      1  53        0         0
#> 8     18.43      1  32        0         0
#> 36.1  21.19      1  48        0         1
#> 59.1  10.16      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 157.1 15.10      1  47        0         0
#> 140   12.68      1  59        1         0
#> 86    23.81      1  58        0         1
#> 167.1 15.55      1  56        1         0
#> 159   10.55      1  50        0         1
#> 25     6.32      1  34        1         0
#> 168   23.72      1  70        0         0
#> 41    18.02      1  40        1         0
#> 157.2 15.10      1  47        0         0
#> 168.1 23.72      1  70        0         0
#> 50.1  10.02      1  NA        1         0
#> 134.2 17.81      1  47        1         0
#> 150.1 20.33      1  48        0         0
#> 66.2  22.13      1  53        0         0
#> 96    14.54      1  33        0         1
#> 150.2 20.33      1  48        0         0
#> 192   16.44      1  31        1         0
#> 78    23.88      1  43        0         0
#> 177   12.53      1  75        0         0
#> 129   23.41      1  53        1         0
#> 171   16.57      1  41        0         1
#> 40    18.00      1  28        1         0
#> 76    19.22      1  54        0         1
#> 194   22.40      1  38        0         1
#> 63    22.77      1  31        1         0
#> 101.2  9.97      1  10        0         1
#> 51    18.23      1  83        0         1
#> 187.1  9.92      1  39        1         0
#> 60    13.15      1  38        1         0
#> 166.1 19.98      1  48        0         0
#> 180   14.82      1  37        0         0
#> 49    12.19      1  48        1         0
#> 58    19.34      1  39        0         0
#> 66.3  22.13      1  53        0         0
#> 68.1  20.62      1  44        0         0
#> 113.1 22.86      1  34        0         0
#> 61.1  10.12      1  36        0         1
#> 69.1  23.23      1  25        0         1
#> 195   11.76      1  NA        1         0
#> 127.1  3.53      1  62        0         1
#> 16.3   8.71      1  71        0         1
#> 4.1   17.64      1  NA        0         1
#> 50.2  10.02      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 136.1 21.83      1  43        0         1
#> 149    8.37      1  33        1         0
#> 55    19.34      1  69        0         1
#> 134.3 17.81      1  47        1         0
#> 41.1  18.02      1  40        1         0
#> 42    12.43      1  49        0         1
#> 198   24.00      0  66        0         1
#> 84    24.00      0  39        0         1
#> 83    24.00      0   6        0         0
#> 75    24.00      0  21        1         0
#> 135   24.00      0  58        1         0
#> 151   24.00      0  42        0         0
#> 73    24.00      0  NA        0         1
#> 12    24.00      0  63        0         0
#> 196   24.00      0  19        0         0
#> 115   24.00      0  NA        1         0
#> 33    24.00      0  53        0         0
#> 64    24.00      0  43        0         0
#> 109   24.00      0  48        0         0
#> 75.1  24.00      0  21        1         0
#> 148   24.00      0  61        1         0
#> 47    24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 75.2  24.00      0  21        1         0
#> 172   24.00      0  41        0         0
#> 122   24.00      0  66        0         0
#> 27    24.00      0  63        1         0
#> 112   24.00      0  61        0         0
#> 65    24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 142   24.00      0  53        0         0
#> 98    24.00      0  34        1         0
#> 38    24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 151.1 24.00      0  42        0         0
#> 75.3  24.00      0  21        1         0
#> 196.1 24.00      0  19        0         0
#> 62    24.00      0  71        0         0
#> 120   24.00      0  68        0         1
#> 120.1 24.00      0  68        0         1
#> 71    24.00      0  51        0         0
#> 142.1 24.00      0  53        0         0
#> 74    24.00      0  43        0         1
#> 54    24.00      0  53        1         0
#> 22    24.00      0  52        1         0
#> 48    24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 200   24.00      0  64        0         0
#> 119   24.00      0  17        0         0
#> 72    24.00      0  40        0         1
#> 22.1  24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 74.1  24.00      0  43        0         1
#> 34    24.00      0  36        0         0
#> 38.1  24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 83.1  24.00      0   6        0         0
#> 71.1  24.00      0  51        0         0
#> 73.1  24.00      0  NA        0         1
#> 126   24.00      0  48        0         0
#> 119.1 24.00      0  17        0         0
#> 44    24.00      0  56        0         0
#> 126.1 24.00      0  48        0         0
#> 200.1 24.00      0  64        0         0
#> 115.1 24.00      0  NA        1         0
#> 122.1 24.00      0  66        0         0
#> 138.1 24.00      0  44        1         0
#> 38.2  24.00      0  31        1         0
#> 94.1  24.00      0  51        0         1
#> 115.2 24.00      0  NA        1         0
#> 38.3  24.00      0  31        1         0
#> 73.2  24.00      0  NA        0         1
#> 38.4  24.00      0  31        1         0
#> 84.1  24.00      0  39        0         1
#> 47.1  24.00      0  38        0         1
#> 142.2 24.00      0  53        0         0
#> 38.5  24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 1     24.00      0  23        1         0
#> 131   24.00      0  66        0         0
#> 98.1  24.00      0  34        1         0
#> 87    24.00      0  27        0         0
#> 198.1 24.00      0  66        0         1
#> 121   24.00      0  57        1         0
#> 64.1  24.00      0  43        0         0
#> 31    24.00      0  36        0         1
#> 178   24.00      0  52        1         0
#> 54.1  24.00      0  53        1         0
#> 73.3  24.00      0  NA        0         1
#> 174   24.00      0  49        1         0
#> 2     24.00      0   9        0         0
#> 161   24.00      0  45        0         0
#> 94.2  24.00      0  51        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.712         NA        NA      NA
#> 2 age, Cure model           0.0144        NA        NA      NA
#> 3 grade_ii, Cure model      0.122         NA        NA      NA
#> 4 grade_iii, Cure model     0.816         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00172        NA        NA      NA
#> 2 grade_ii, Survival model   0.826          NA        NA      NA
#> 3 grade_iii, Survival model  0.568          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.71199           0.01438           0.12187           0.81613  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    250.1 
#> Residual Deviance: 242.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.71199340       0.01438397       0.12186579       0.81613005 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.00172384       0.82616949       0.56794118 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.96706746 0.52823843 0.64652408 0.46064451 0.88490180 0.57542474
#>   [7] 0.64652408 0.93880661 0.81353888 0.46064451 0.93880661 0.22195812
#>  [13] 0.73719709 0.98367989 0.41948219 0.33753302 0.72271575 0.93296205
#>  [19] 0.18923467 0.69269455 0.84029024 0.44040510 0.90327049 0.70034438
#>  [25] 0.92119460 0.90327049 0.43012882 0.87240675 0.67729506 0.02376164
#>  [31] 0.38761847 0.53796610 0.76548669 0.74446868 0.28436496 0.50892383
#>  [37] 0.89108833 0.86607009 0.37578629 0.36334851 0.60295456 0.84029024
#>  [43] 0.98916858 0.68503534 0.79995549 0.75852654 0.93880661 0.57542474
#>  [49] 0.48013538 0.38761847 0.96706746 0.81353888 0.28436496 0.59373557
#>  [55] 0.38761847 0.76548669 0.82697381 0.09663535 0.74446868 0.87867479
#>  [61] 0.97816162 0.12336597 0.62100783 0.76548669 0.12336597 0.64652408
#>  [67] 0.48013538 0.28436496 0.79306930 0.48013538 0.72271575 0.06062249
#>  [73] 0.83363569 0.16902559 0.70787204 0.63808597 0.56617304 0.26975088
#>  [79] 0.25440204 0.90327049 0.61205015 0.92119460 0.80678832 0.50892383
#>  [85] 0.78613083 0.85968858 0.54753794 0.28436496 0.44040510 0.22195812
#>  [91] 0.89108833 0.18923467 0.98916858 0.93880661 0.71532881 0.33753302
#>  [97] 0.96141292 0.54753794 0.64652408 0.62100783 0.85323612 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000
#> 
#> $Time
#>    70   105   134   128    52   179 134.1    16   155 128.1  16.1   113     6 
#>  7.38 19.75 17.81 20.35 10.42 18.63 17.81  8.71 13.08 20.35  8.71 22.86 15.64 
#>    91    90   136    85   183    69    23    37    68   101   106   187 101.1 
#>  5.33 20.94 21.83 16.44  9.24 23.23 16.92 12.52 20.62  9.97 16.67  9.92  9.97 
#>   190   107   110    24    99   170   157   167    66   166    61    43   139 
#> 20.81 11.18 17.56 23.89 21.19 19.54 15.10 15.55 22.13 19.98 10.12 12.10 21.49 
#>   197   108  37.1   127    45    57    29  16.2 179.1   150    36  70.1 155.1 
#> 21.60 18.29 12.52  3.53 17.42 14.46 15.45  8.71 18.63 20.33 21.19  7.38 13.08 
#>  66.1     8  36.1 157.1   140    86 167.1   159    25   168    41 157.2 168.1 
#> 22.13 18.43 21.19 15.10 12.68 23.81 15.55 10.55  6.32 23.72 18.02 15.10 23.72 
#> 134.2 150.1  66.2    96 150.2   192    78   177   129   171    40    76   194 
#> 17.81 20.33 22.13 14.54 20.33 16.44 23.88 12.53 23.41 16.57 18.00 19.22 22.40 
#>    63 101.2    51 187.1    60 166.1   180    49    58  66.3  68.1 113.1  61.1 
#> 22.77  9.97 18.23  9.92 13.15 19.98 14.82 12.19 19.34 22.13 20.62 22.86 10.12 
#>  69.1 127.1  16.3   181 136.1   149    55 134.3  41.1    42   198    84    83 
#> 23.23  3.53  8.71 16.46 21.83  8.37 19.34 17.81 18.02 12.43 24.00 24.00 24.00 
#>    75   135   151    12   196    33    64   109  75.1   148    47   138  75.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172   122    27   112    65    94   142    98    38   185 151.1  75.3 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   120 120.1    71 142.1    74    54    22    48   152   200   119    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.1    53  74.1    34  38.1   162  83.1  71.1   126 119.1    44 126.1 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.1 138.1  38.2  94.1  38.3  38.4  84.1  47.1 142.2  38.5     9   176     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131  98.1    87 198.1   121  64.1    31   178  54.1   174     2   161  94.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[15]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01498368                0.17655845                0.12943397 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.2028233712            0.0002317438            0.2938675156 
#>   grade_iii, Cure model 
#>            0.9126570180 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 101    9.97      1  10        0         1
#> 79    16.23      1  54        1         0
#> 167   15.55      1  56        1         0
#> 171   16.57      1  41        0         1
#> 66    22.13      1  53        0         0
#> 113   22.86      1  34        0         0
#> 113.1 22.86      1  34        0         0
#> 168   23.72      1  70        0         0
#> 85    16.44      1  36        0         0
#> 93    10.33      1  52        0         1
#> 139   21.49      1  63        1         0
#> 168.1 23.72      1  70        0         0
#> 111   17.45      1  47        0         1
#> 55    19.34      1  69        0         1
#> 10    10.53      1  34        0         0
#> 108   18.29      1  39        0         1
#> 106   16.67      1  49        1         0
#> 50    10.02      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 93.1  10.33      1  52        0         1
#> 51    18.23      1  83        0         1
#> 51.1  18.23      1  83        0         1
#> 30    17.43      1  78        0         0
#> 59    10.16      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 101.1  9.97      1  10        0         1
#> 60    13.15      1  38        1         0
#> 43    12.10      1  61        0         1
#> 175   21.91      1  43        0         0
#> 81    14.06      1  34        0         0
#> 123   13.00      1  44        1         0
#> 199   19.81      1  NA        0         1
#> 4     17.64      1  NA        0         1
#> 124    9.73      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 107   11.18      1  54        1         0
#> 61    10.12      1  36        0         1
#> 50.1  10.02      1  NA        1         0
#> 101.2  9.97      1  10        0         1
#> 14    12.89      1  21        0         0
#> 150   20.33      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 39    15.59      1  37        0         1
#> 171.1 16.57      1  41        0         1
#> 56    12.21      1  60        0         0
#> 40    18.00      1  28        1         0
#> 30.1  17.43      1  78        0         0
#> 188   16.16      1  46        0         1
#> 108.1 18.29      1  39        0         1
#> 10.1  10.53      1  34        0         0
#> 59.1  10.16      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 30.2  17.43      1  78        0         0
#> 187    9.92      1  39        1         0
#> 124.1  9.73      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 88    18.37      1  47        0         0
#> 128   20.35      1  35        0         1
#> 181.1 16.46      1  45        0         1
#> 153   21.33      1  55        1         0
#> 68    20.62      1  44        0         0
#> 15    22.68      1  48        0         0
#> 88.1  18.37      1  47        0         0
#> 129   23.41      1  53        1         0
#> 81.1  14.06      1  34        0         0
#> 145   10.07      1  65        1         0
#> 106.1 16.67      1  49        1         0
#> 171.2 16.57      1  41        0         1
#> 90    20.94      1  50        0         1
#> 10.2  10.53      1  34        0         0
#> 171.3 16.57      1  41        0         1
#> 6     15.64      1  39        0         0
#> 99    21.19      1  38        0         1
#> 32    20.90      1  37        1         0
#> 190   20.81      1  42        1         0
#> 69    23.23      1  25        0         1
#> 123.1 13.00      1  44        1         0
#> 25     6.32      1  34        1         0
#> 190.1 20.81      1  42        1         0
#> 70     7.38      1  30        1         0
#> 195   11.76      1  NA        1         0
#> 68.1  20.62      1  44        0         0
#> 70.1   7.38      1  30        1         0
#> 195.1 11.76      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 154   12.63      1  20        1         0
#> 130   16.47      1  53        0         1
#> 63    22.77      1  31        1         0
#> 57    14.46      1  45        0         1
#> 6.1   15.64      1  39        0         0
#> 134   17.81      1  47        1         0
#> 159   10.55      1  50        0         1
#> 91.1   5.33      1  61        0         1
#> 69.1  23.23      1  25        0         1
#> 57.1  14.46      1  45        0         1
#> 129.1 23.41      1  53        1         0
#> 192   16.44      1  31        1         0
#> 29    15.45      1  68        1         0
#> 133   14.65      1  57        0         0
#> 158   20.14      1  74        1         0
#> 153.1 21.33      1  55        1         0
#> 93.2  10.33      1  52        0         1
#> 6.2   15.64      1  39        0         0
#> 194   22.40      1  38        0         1
#> 155   13.08      1  26        0         0
#> 180   14.82      1  37        0         0
#> 81.2  14.06      1  34        0         0
#> 123.2 13.00      1  44        1         0
#> 192.1 16.44      1  31        1         0
#> 194.1 22.40      1  38        0         1
#> 140   12.68      1  59        1         0
#> 23.1  16.92      1  61        0         0
#> 48    24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 135   24.00      0  58        1         0
#> 160   24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 65    24.00      0  57        1         0
#> 120   24.00      0  68        0         1
#> 44    24.00      0  56        0         0
#> 162   24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 143   24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 38    24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 48.1  24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 2     24.00      0   9        0         0
#> 131   24.00      0  66        0         0
#> 71    24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 102   24.00      0  49        0         0
#> 2.1   24.00      0   9        0         0
#> 7     24.00      0  37        1         0
#> 120.1 24.00      0  68        0         1
#> 12.1  24.00      0  63        0         0
#> 151   24.00      0  42        0         0
#> 191.1 24.00      0  60        0         1
#> 138   24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 82    24.00      0  34        0         0
#> 83.1  24.00      0   6        0         0
#> 74    24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 162.1 24.00      0  51        0         0
#> 83.2  24.00      0   6        0         0
#> 200   24.00      0  64        0         0
#> 47.1  24.00      0  38        0         1
#> 82.1  24.00      0  34        0         0
#> 28    24.00      0  67        1         0
#> 103   24.00      0  56        1         0
#> 138.1 24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 118   24.00      0  44        1         0
#> 12.2  24.00      0  63        0         0
#> 144   24.00      0  28        0         1
#> 186   24.00      0  45        1         0
#> 198   24.00      0  66        0         1
#> 72    24.00      0  40        0         1
#> 73    24.00      0  NA        0         1
#> 2.2   24.00      0   9        0         0
#> 185   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 98    24.00      0  34        1         0
#> 156   24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 135.1 24.00      0  58        1         0
#> 109   24.00      0  48        0         0
#> 160.1 24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 31    24.00      0  36        0         1
#> 87    24.00      0  27        0         0
#> 163   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 21    24.00      0  47        0         0
#> 163.1 24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 82.2  24.00      0  34        0         0
#> 173   24.00      0  19        0         1
#> 74.1  24.00      0  43        0         1
#> 193   24.00      0  45        0         1
#> 21.1  24.00      0  47        0         0
#> 135.2 24.00      0  58        1         0
#> 80.1  24.00      0  41        0         0
#> 109.1 24.00      0  48        0         0
#> 146   24.00      0  63        1         0
#> 198.1 24.00      0  66        0         1
#> 118.1 24.00      0  44        1         0
#> 120.2 24.00      0  68        0         1
#> 122   24.00      0  66        0         0
#> 122.1 24.00      0  66        0         0
#> 102.1 24.00      0  49        0         0
#> 80.2  24.00      0  41        0         0
#> 65.1  24.00      0  57        1         0
#> 21.2  24.00      0  47        0         0
#> 147   24.00      0  76        1         0
#> 71.1  24.00      0  51        0         0
#> 131.1 24.00      0  66        0         0
#> 152   24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.203           NA        NA      NA
#> 2 age, Cure model          0.000232        NA        NA      NA
#> 3 grade_ii, Cure model     0.294           NA        NA      NA
#> 4 grade_iii, Cure model    0.913           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0150        NA        NA      NA
#> 2 grade_ii, Survival model    0.177         NA        NA      NA
#> 3 grade_iii, Survival model   0.129         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.2028234         0.0002317         0.2938675         0.9126570  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 251.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.2028233712     0.0002317438     0.2938675156     0.9126570180 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01498368       0.17655845       0.12943397 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 8.508109e-01 3.489078e-01 4.315706e-01 2.449675e-01 2.688590e-02
#>   [6] 9.737551e-03 9.737551e-03 5.031299e-05 3.163291e-01 7.703246e-01
#>  [11] 3.437243e-02 5.031299e-05 1.729222e-01 1.071889e-01 7.240223e-01
#>  [16] 1.274850e-01 2.256774e-01 1.007912e-01 7.703246e-01 1.417056e-01
#>  [21] 1.417056e-01 1.811530e-01 2.070678e-01 8.508109e-01 5.495481e-01
#>  [26] 6.783607e-01 3.052008e-02 5.092075e-01 5.774665e-01 9.660082e-01
#>  [31] 6.934270e-01 8.179966e-01 8.508109e-01 6.196476e-01 8.855467e-02
#>  [36] 4.192198e-01 2.449675e-01 6.634742e-01 1.569549e-01 1.811530e-01
#>  [41] 3.602957e-01 1.274850e-01 7.240223e-01 8.736250e-04 1.811530e-01
#>  [46] 8.994018e-01 2.949075e-01 1.138223e-01 8.275785e-02 2.949075e-01
#>  [51] 3.847114e-02 7.181158e-02 1.746072e-02 1.138223e-01 2.233879e-03
#>  [56] 5.092075e-01 8.343151e-01 2.256774e-01 2.449675e-01 5.173226e-02
#>  [61] 7.240223e-01 2.449675e-01 3.836008e-01 4.706134e-02 5.660665e-02
#>  [66] 6.161699e-02 5.678754e-03 5.774665e-01 9.491849e-01 6.161699e-02
#>  [71] 9.160015e-01 7.181158e-02 9.160015e-01 3.718400e-01 6.487831e-01
#>  [76] 2.843241e-01 1.463306e-02 4.827932e-01 3.836008e-01 1.648593e-01
#>  [81] 7.086484e-01 9.660082e-01 5.678754e-03 4.827932e-01 2.233879e-03
#>  [86] 3.163291e-01 4.440950e-01 4.697055e-01 9.455293e-02 3.847114e-02
#>  [91] 7.703246e-01 3.836008e-01 2.054513e-02 5.634515e-01 4.568239e-01
#>  [96] 5.092075e-01 5.774665e-01 3.163291e-01 2.054513e-02 6.341305e-01
#> [101] 2.070678e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   101    79   167   171    66   113 113.1   168    85    93   139 168.1   111 
#>  9.97 16.23 15.55 16.57 22.13 22.86 22.86 23.72 16.44 10.33 21.49 23.72 17.45 
#>    55    10   108   106   170  93.1    51  51.1    30    23 101.1    60    43 
#> 19.34 10.53 18.29 16.67 19.54 10.33 18.23 18.23 17.43 16.92  9.97 13.15 12.10 
#>   175    81   123    91   107    61 101.2    14   150    39 171.1    56    40 
#> 21.91 14.06 13.00  5.33 11.18 10.12  9.97 12.89 20.33 15.59 16.57 12.21 18.00 
#>  30.1   188 108.1  10.1   164  30.2   187   181    88   128 181.1   153    68 
#> 17.43 16.16 18.29 10.53 23.60 17.43  9.92 16.46 18.37 20.35 16.46 21.33 20.62 
#>    15  88.1   129  81.1   145 106.1 171.2    90  10.2 171.3     6    99    32 
#> 22.68 18.37 23.41 14.06 10.07 16.67 16.57 20.94 10.53 16.57 15.64 21.19 20.90 
#>   190    69 123.1    25 190.1    70  68.1  70.1   100   154   130    63    57 
#> 20.81 23.23 13.00  6.32 20.81  7.38 20.62  7.38 16.07 12.63 16.47 22.77 14.46 
#>   6.1   134   159  91.1  69.1  57.1 129.1   192    29   133   158 153.1  93.2 
#> 15.64 17.81 10.55  5.33 23.23 14.46 23.41 16.44 15.45 14.65 20.14 21.33 10.33 
#>   6.2   194   155   180  81.2 123.2 192.1 194.1   140  23.1    48     1   135 
#> 15.64 22.40 13.08 14.82 14.06 13.00 16.44 22.40 12.68 16.92 24.00 24.00 24.00 
#>   160   191    65   120    44   162    80   143    12    38   137  48.1   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2   131    71    54   102   2.1     7 120.1  12.1   151 191.1   138    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82  83.1    74    47 162.1  83.2   200  47.1  82.1    28   103 138.1   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.2   144   186   198    72   2.2   185    34    98   156   121 135.1   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1   116    31    87   163   165    21 163.1    20  82.2   173  74.1   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.1 135.2  80.1 109.1   146 198.1 118.1 120.2   122 122.1 102.1  80.2  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.2   147  71.1 131.1   152 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[16]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01200887                0.59752006                0.35608570 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            0.1085617870           -0.0004462566           -0.0873861890 
#>   grade_iii, Cure model 
#>            0.3453248291 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 29    15.45      1  68        1         0
#> 195   11.76      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 51    18.23      1  83        0         1
#> 106   16.67      1  49        1         0
#> 69    23.23      1  25        0         1
#> 179   18.63      1  42        0         0
#> 130   16.47      1  53        0         1
#> 167   15.55      1  56        1         0
#> 63    22.77      1  31        1         0
#> 77     7.27      1  67        0         1
#> 10    10.53      1  34        0         0
#> 55    19.34      1  69        0         1
#> 192   16.44      1  31        1         0
#> 66    22.13      1  53        0         0
#> 145   10.07      1  65        1         0
#> 171   16.57      1  41        0         1
#> 42    12.43      1  49        0         1
#> 15    22.68      1  48        0         0
#> 16     8.71      1  71        0         1
#> 45    17.42      1  54        0         1
#> 63.1  22.77      1  31        1         0
#> 117   17.46      1  26        0         1
#> 110   17.56      1  65        0         1
#> 168   23.72      1  70        0         0
#> 195.1 11.76      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 4     17.64      1  NA        0         1
#> 150   20.33      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 49    12.19      1  48        1         0
#> 92    22.92      1  47        0         1
#> 128   20.35      1  35        0         1
#> 81    14.06      1  34        0         0
#> 133   14.65      1  57        0         0
#> 171.1 16.57      1  41        0         1
#> 166   19.98      1  48        0         0
#> 55.1  19.34      1  69        0         1
#> 117.1 17.46      1  26        0         1
#> 15.1  22.68      1  48        0         0
#> 134   17.81      1  47        1         0
#> 4.1   17.64      1  NA        0         1
#> 184   17.77      1  38        0         0
#> 42.1  12.43      1  49        0         1
#> 153   21.33      1  55        1         0
#> 41.1  18.02      1  40        1         0
#> 45.1  17.42      1  54        0         1
#> 57    14.46      1  45        0         1
#> 32    20.90      1  37        1         0
#> 77.1   7.27      1  67        0         1
#> 63.2  22.77      1  31        1         0
#> 36    21.19      1  48        0         1
#> 49.1  12.19      1  48        1         0
#> 123   13.00      1  44        1         0
#> 150.1 20.33      1  48        0         0
#> 43    12.10      1  61        0         1
#> 187    9.92      1  39        1         0
#> 107   11.18      1  54        1         0
#> 130.1 16.47      1  53        0         1
#> 171.2 16.57      1  41        0         1
#> 183    9.24      1  67        1         0
#> 179.1 18.63      1  42        0         0
#> 175   21.91      1  43        0         0
#> 100   16.07      1  60        0         0
#> 107.1 11.18      1  54        1         0
#> 29.1  15.45      1  68        1         0
#> 86    23.81      1  58        0         1
#> 78    23.88      1  43        0         0
#> 8     18.43      1  32        0         0
#> 100.1 16.07      1  60        0         0
#> 181   16.46      1  45        0         1
#> 183.1  9.24      1  67        1         0
#> 57.1  14.46      1  45        0         1
#> 69.1  23.23      1  25        0         1
#> 169   22.41      1  46        0         0
#> 99    21.19      1  38        0         1
#> 58    19.34      1  39        0         0
#> 41.2  18.02      1  40        1         0
#> 113   22.86      1  34        0         0
#> 93    10.33      1  52        0         1
#> 114   13.68      1  NA        0         0
#> 15.2  22.68      1  48        0         0
#> 76    19.22      1  54        0         1
#> 10.1  10.53      1  34        0         0
#> 181.1 16.46      1  45        0         1
#> 81.1  14.06      1  34        0         0
#> 101    9.97      1  10        0         1
#> 150.2 20.33      1  48        0         0
#> 10.2  10.53      1  34        0         0
#> 179.2 18.63      1  42        0         0
#> 180   14.82      1  37        0         0
#> 136   21.83      1  43        0         1
#> 99.1  21.19      1  38        0         1
#> 6     15.64      1  39        0         0
#> 157   15.10      1  47        0         0
#> 153.1 21.33      1  55        1         0
#> 133.1 14.65      1  57        0         0
#> 133.2 14.65      1  57        0         0
#> 29.2  15.45      1  68        1         0
#> 154   12.63      1  20        1         0
#> 113.1 22.86      1  34        0         0
#> 88    18.37      1  47        0         0
#> 158   20.14      1  74        1         0
#> 183.2  9.24      1  67        1         0
#> 171.3 16.57      1  41        0         1
#> 192.1 16.44      1  31        1         0
#> 107.2 11.18      1  54        1         0
#> 63.3  22.77      1  31        1         0
#> 189   10.51      1  NA        1         0
#> 168.1 23.72      1  70        0         0
#> 50    10.02      1  NA        1         0
#> 132   24.00      0  55        0         0
#> 20    24.00      0  46        1         0
#> 120   24.00      0  68        0         1
#> 185   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 28    24.00      0  67        1         0
#> 3     24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 62    24.00      0  71        0         0
#> 160   24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 148   24.00      0  61        1         0
#> 71    24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 176   24.00      0  43        0         1
#> 98    24.00      0  34        1         0
#> 121   24.00      0  57        1         0
#> 31    24.00      0  36        0         1
#> 118   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 1.1   24.00      0  23        1         0
#> 64    24.00      0  43        0         0
#> 104   24.00      0  50        1         0
#> 74    24.00      0  43        0         1
#> 191   24.00      0  60        0         1
#> 83    24.00      0   6        0         0
#> 144   24.00      0  28        0         1
#> 95    24.00      0  68        0         1
#> 104.1 24.00      0  50        1         0
#> 191.1 24.00      0  60        0         1
#> 54    24.00      0  53        1         0
#> 82    24.00      0  34        0         0
#> 19    24.00      0  57        0         1
#> 72    24.00      0  40        0         1
#> 146   24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 172.1 24.00      0  41        0         0
#> 72.1  24.00      0  40        0         1
#> 75    24.00      0  21        1         0
#> 103   24.00      0  56        1         0
#> 160.1 24.00      0  31        1         0
#> 120.1 24.00      0  68        0         1
#> 67.1  24.00      0  25        0         0
#> 132.1 24.00      0  55        0         0
#> 142   24.00      0  53        0         0
#> 156   24.00      0  50        1         0
#> 146.1 24.00      0  63        1         0
#> 62.1  24.00      0  71        0         0
#> 74.1  24.00      0  43        0         1
#> 193   24.00      0  45        0         1
#> 143   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 131   24.00      0  66        0         0
#> 17    24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 131.1 24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 64.1  24.00      0  43        0         0
#> 72.2  24.00      0  40        0         1
#> 103.1 24.00      0  56        1         0
#> 121.1 24.00      0  57        1         0
#> 173   24.00      0  19        0         1
#> 67.2  24.00      0  25        0         0
#> 9     24.00      0  31        1         0
#> 132.2 24.00      0  55        0         0
#> 148.1 24.00      0  61        1         0
#> 48    24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 102   24.00      0  49        0         0
#> 144.1 24.00      0  28        0         1
#> 95.1  24.00      0  68        0         1
#> 144.2 24.00      0  28        0         1
#> 178   24.00      0  52        1         0
#> 71.1  24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 172.2 24.00      0  41        0         0
#> 53    24.00      0  32        0         1
#> 44    24.00      0  56        0         0
#> 112   24.00      0  61        0         0
#> 71.2  24.00      0  51        0         0
#> 132.3 24.00      0  55        0         0
#> 17.1  24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 148.2 24.00      0  61        1         0
#> 46.1  24.00      0  71        0         0
#> 98.1  24.00      0  34        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.109           NA        NA      NA
#> 2 age, Cure model         -0.000446        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0874          NA        NA      NA
#> 4 grade_iii, Cure model    0.345           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0120        NA        NA      NA
#> 2 grade_ii, Survival model    0.598         NA        NA      NA
#> 3 grade_iii, Survival model   0.356         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        0.1085618        -0.0004463        -0.0873862         0.3453248  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 263.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     0.1085617870    -0.0004462566    -0.0873861890     0.3453248291 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01200887       0.59752006       0.35608570 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.84166090 0.61271554 0.68793580 0.75896398 0.26105099 0.65138316
#>   [7] 0.78771724 0.83645850 0.36152622 0.99237782 0.94779040 0.62095942
#>  [13] 0.80986665 0.46523334 0.96449257 0.76495910 0.90850520 0.41479667
#>  [19] 0.98849386 0.74680355 0.36152622 0.73429049 0.72790313 0.20992944
#>  [25] 0.94356499 0.56963966 0.69500940 0.91757498 0.30435184 0.56041167
#>  [31] 0.88985941 0.86610812 0.76495910 0.60435289 0.62095942 0.73429049
#>  [37] 0.41479667 0.71485255 0.72139491 0.90850520 0.50154997 0.69500940
#>  [43] 0.74680355 0.88043250 0.55100183 0.99237782 0.36152622 0.52237014
#>  [49] 0.91757498 0.89923623 0.56963966 0.92644874 0.97270954 0.93085462
#>  [55] 0.78771724 0.76495910 0.97678002 0.65138316 0.47761675 0.82059225
#>  [61] 0.93085462 0.84166090 0.16843633 0.09274763 0.67329900 0.82059225
#>  [67] 0.79890331 0.97678002 0.88043250 0.26105099 0.45254956 0.52237014
#>  [73] 0.62095942 0.69500940 0.32457738 0.96032605 0.41479667 0.64382572
#>  [79] 0.94779040 0.79890331 0.88985941 0.96860637 0.56963966 0.94779040
#>  [85] 0.65138316 0.86122698 0.48978689 0.52237014 0.83117190 0.85633031
#>  [91] 0.50154997 0.86610812 0.86610812 0.84166090 0.90388629 0.32457738
#>  [97] 0.68064724 0.59589904 0.97678002 0.76495910 0.80986665 0.93085462
#> [103] 0.36152622 0.20992944 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    29   105    51   106    69   179   130   167    63    77    10    55   192 
#> 15.45 19.75 18.23 16.67 23.23 18.63 16.47 15.55 22.77  7.27 10.53 19.34 16.44 
#>    66   145   171    42    15    16    45  63.1   117   110   168   159   150 
#> 22.13 10.07 16.57 12.43 22.68  8.71 17.42 22.77 17.46 17.56 23.72 10.55 20.33 
#>    41    49    92   128    81   133 171.1   166  55.1 117.1  15.1   134   184 
#> 18.02 12.19 22.92 20.35 14.06 14.65 16.57 19.98 19.34 17.46 22.68 17.81 17.77 
#>  42.1   153  41.1  45.1    57    32  77.1  63.2    36  49.1   123 150.1    43 
#> 12.43 21.33 18.02 17.42 14.46 20.90  7.27 22.77 21.19 12.19 13.00 20.33 12.10 
#>   187   107 130.1 171.2   183 179.1   175   100 107.1  29.1    86    78     8 
#>  9.92 11.18 16.47 16.57  9.24 18.63 21.91 16.07 11.18 15.45 23.81 23.88 18.43 
#> 100.1   181 183.1  57.1  69.1   169    99    58  41.2   113    93  15.2    76 
#> 16.07 16.46  9.24 14.46 23.23 22.41 21.19 19.34 18.02 22.86 10.33 22.68 19.22 
#>  10.1 181.1  81.1   101 150.2  10.2 179.2   180   136  99.1     6   157 153.1 
#> 10.53 16.46 14.06  9.97 20.33 10.53 18.63 14.82 21.83 21.19 15.64 15.10 21.33 
#> 133.1 133.2  29.2   154 113.1    88   158 183.2 171.3 192.1 107.2  63.3 168.1 
#> 14.65 14.65 15.45 12.63 22.86 18.37 20.14  9.24 16.57 16.44 11.18 22.77 23.72 
#>   132    20   120   185     1    28     3    27    62   160    46   148    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172   176    98   121    31   118   138   1.1    64   104    74   191    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144    95 104.1 191.1    54    82    19    72   146    67 172.1  72.1    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103 160.1 120.1  67.1 132.1   142   156 146.1  62.1  74.1   193   143    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131    17    33   200 131.1   122  64.1  72.2 103.1 121.1   173  67.2     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.2 148.1    48   116   102 144.1  95.1 144.2   178  71.1   163   161 172.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53    44   112  71.2 132.3  17.1   141 148.2  46.1  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[17]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002110481               1.123353304               0.701794062 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.46769421              0.01049453             -0.10489283 
#>   grade_iii, Cure model 
#>              0.59668894 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 170   19.54      1  43        0         1
#> 25     6.32      1  34        1         0
#> 43    12.10      1  61        0         1
#> 134   17.81      1  47        1         0
#> 25.1   6.32      1  34        1         0
#> 76    19.22      1  54        0         1
#> 36    21.19      1  48        0         1
#> 10    10.53      1  34        0         0
#> 23    16.92      1  61        0         0
#> 97    19.14      1  65        0         1
#> 39    15.59      1  37        0         1
#> 123   13.00      1  44        1         0
#> 4     17.64      1  NA        0         1
#> 66    22.13      1  53        0         0
#> 183    9.24      1  67        1         0
#> 166   19.98      1  48        0         0
#> 166.1 19.98      1  48        0         0
#> 189   10.51      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 145   10.07      1  65        1         0
#> 58.1  19.34      1  39        0         0
#> 145.1 10.07      1  65        1         0
#> 199   19.81      1  NA        0         1
#> 96    14.54      1  33        0         1
#> 61    10.12      1  36        0         1
#> 57    14.46      1  45        0         1
#> 42    12.43      1  49        0         1
#> 69    23.23      1  25        0         1
#> 179   18.63      1  42        0         0
#> 57.1  14.46      1  45        0         1
#> 179.1 18.63      1  42        0         0
#> 91     5.33      1  61        0         1
#> 180   14.82      1  37        0         0
#> 18    15.21      1  49        1         0
#> 39.1  15.59      1  37        0         1
#> 8     18.43      1  32        0         0
#> 130   16.47      1  53        0         1
#> 37    12.52      1  57        1         0
#> 136   21.83      1  43        0         1
#> 70     7.38      1  30        1         0
#> 69.1  23.23      1  25        0         1
#> 92    22.92      1  47        0         1
#> 78    23.88      1  43        0         0
#> 16     8.71      1  71        0         1
#> 39.2  15.59      1  37        0         1
#> 68    20.62      1  44        0         0
#> 39.3  15.59      1  37        0         1
#> 168   23.72      1  70        0         0
#> 139   21.49      1  63        1         0
#> 29    15.45      1  68        1         0
#> 41    18.02      1  40        1         0
#> 101    9.97      1  10        0         1
#> 25.2   6.32      1  34        1         0
#> 136.1 21.83      1  43        0         1
#> 179.2 18.63      1  42        0         0
#> 4.1   17.64      1  NA        0         1
#> 24    23.89      1  38        0         0
#> 187    9.92      1  39        1         0
#> 101.1  9.97      1  10        0         1
#> 99    21.19      1  38        0         1
#> 29.1  15.45      1  68        1         0
#> 111   17.45      1  47        0         1
#> 70.1   7.38      1  30        1         0
#> 159   10.55      1  50        0         1
#> 24.1  23.89      1  38        0         0
#> 188   16.16      1  46        0         1
#> 111.1 17.45      1  47        0         1
#> 113   22.86      1  34        0         0
#> 166.2 19.98      1  48        0         0
#> 179.3 18.63      1  42        0         0
#> 13    14.34      1  54        0         1
#> 63    22.77      1  31        1         0
#> 66.1  22.13      1  53        0         0
#> 68.1  20.62      1  44        0         0
#> 111.2 17.45      1  47        0         1
#> 42.1  12.43      1  49        0         1
#> 51    18.23      1  83        0         1
#> 10.1  10.53      1  34        0         0
#> 6     15.64      1  39        0         0
#> 52    10.42      1  52        0         1
#> 93    10.33      1  52        0         1
#> 23.1  16.92      1  61        0         0
#> 70.2   7.38      1  30        1         0
#> 197   21.60      1  69        1         0
#> 16.1   8.71      1  71        0         1
#> 123.1 13.00      1  44        1         0
#> 195   11.76      1  NA        1         0
#> 57.2  14.46      1  45        0         1
#> 76.1  19.22      1  54        0         1
#> 86    23.81      1  58        0         1
#> 192   16.44      1  31        1         0
#> 150   20.33      1  48        0         0
#> 140   12.68      1  59        1         0
#> 183.1  9.24      1  67        1         0
#> 101.2  9.97      1  10        0         1
#> 159.1 10.55      1  50        0         1
#> 167   15.55      1  56        1         0
#> 15    22.68      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 101.3  9.97      1  10        0         1
#> 63.1  22.77      1  31        1         0
#> 188.1 16.16      1  46        0         1
#> 128   20.35      1  35        0         1
#> 36.1  21.19      1  48        0         1
#> 150.1 20.33      1  48        0         0
#> 96.1  14.54      1  33        0         1
#> 56    12.21      1  60        0         0
#> 96.2  14.54      1  33        0         1
#> 179.4 18.63      1  42        0         0
#> 136.2 21.83      1  43        0         1
#> 78.1  23.88      1  43        0         0
#> 33    24.00      0  53        0         0
#> 132   24.00      0  55        0         0
#> 31    24.00      0  36        0         1
#> 172   24.00      0  41        0         0
#> 19    24.00      0  57        0         1
#> 9     24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 120   24.00      0  68        0         1
#> 109   24.00      0  48        0         0
#> 48    24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 11    24.00      0  42        0         1
#> 2     24.00      0   9        0         0
#> 74    24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 22    24.00      0  52        1         0
#> 115   24.00      0  NA        1         0
#> 144   24.00      0  28        0         1
#> 72    24.00      0  40        0         1
#> 46    24.00      0  71        0         0
#> 2.1   24.00      0   9        0         0
#> 7     24.00      0  37        1         0
#> 11.1  24.00      0  42        0         1
#> 173   24.00      0  19        0         1
#> 178   24.00      0  52        1         0
#> 176   24.00      0  43        0         1
#> 74.1  24.00      0  43        0         1
#> 53    24.00      0  32        0         1
#> 17.1  24.00      0  38        0         1
#> 64    24.00      0  43        0         0
#> 191   24.00      0  60        0         1
#> 141   24.00      0  44        1         0
#> 172.1 24.00      0  41        0         0
#> 53.1  24.00      0  32        0         1
#> 132.1 24.00      0  55        0         0
#> 35    24.00      0  51        0         0
#> 74.2  24.00      0  43        0         1
#> 74.3  24.00      0  43        0         1
#> 131   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 2.2   24.00      0   9        0         0
#> 112   24.00      0  61        0         0
#> 48.1  24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 144.1 24.00      0  28        0         1
#> 138   24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 126   24.00      0  48        0         0
#> 27.1  24.00      0  63        1         0
#> 165   24.00      0  47        0         0
#> 98    24.00      0  34        1         0
#> 48.2  24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 54    24.00      0  53        1         0
#> 161   24.00      0  45        0         0
#> 112.1 24.00      0  61        0         0
#> 62    24.00      0  71        0         0
#> 12    24.00      0  63        0         0
#> 174   24.00      0  49        1         0
#> 71    24.00      0  51        0         0
#> 17.2  24.00      0  38        0         1
#> 103   24.00      0  56        1         0
#> 54.1  24.00      0  53        1         0
#> 19.1  24.00      0  57        0         1
#> 9.1   24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 132.2 24.00      0  55        0         0
#> 75    24.00      0  21        1         0
#> 34    24.00      0  36        0         0
#> 82    24.00      0  34        0         0
#> 151   24.00      0  42        0         0
#> 178.1 24.00      0  52        1         0
#> 98.1  24.00      0  34        1         0
#> 94    24.00      0  51        0         1
#> 67    24.00      0  25        0         0
#> 173.1 24.00      0  19        0         1
#> 103.1 24.00      0  56        1         0
#> 73    24.00      0  NA        0         1
#> 148.1 24.00      0  61        1         0
#> 67.1  24.00      0  25        0         0
#> 74.4  24.00      0  43        0         1
#> 17.3  24.00      0  38        0         1
#> 174.1 24.00      0  49        1         0
#> 31.1  24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.468         NA        NA      NA
#> 2 age, Cure model           0.0105        NA        NA      NA
#> 3 grade_ii, Cure model     -0.105         NA        NA      NA
#> 4 grade_iii, Cure model     0.597         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00211        NA        NA      NA
#> 2 grade_ii, Survival model   1.12           NA        NA      NA
#> 3 grade_iii, Survival model  0.702          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.46769           0.01049          -0.10489           0.59669  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 257.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.46769421       0.01049453      -0.10489283       0.59668894 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002110481      1.123353304      0.701794062 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.53145321 0.98255190 0.87379923 0.65272868 0.98255190 0.55910437
#>   [7] 0.42650381 0.88971697 0.68332601 0.57673733 0.73462601 0.83515319
#>  [13] 0.33984465 0.95028282 0.50349268 0.50349268 0.54074131 0.91588361
#>  [19] 0.54074131 0.91588361 0.79347167 0.91071000 0.81161461 0.85758465
#>  [25] 0.21978411 0.58544597 0.81161461 0.58544597 0.99564215 0.78720955
#>  [31] 0.78094338 0.73462601 0.62743331 0.69844969 0.85208076 0.36784493
#>  [37] 0.96904714 0.21978411 0.25946619 0.10507538 0.95972659 0.73462601
#>  [43] 0.45550122 0.73462601 0.19332624 0.41569530 0.76821618 0.64451915
#>  [49] 0.92591597 0.98255190 0.36784493 0.58544597 0.04175189 0.94542613
#>  [55] 0.92591597 0.42650381 0.76821618 0.66069808 0.96904714 0.87916925
#>  [61] 0.04175189 0.71327338 0.66069808 0.27829105 0.50349268 0.58544597
#>  [67] 0.82927655 0.29702217 0.33984465 0.45550122 0.66069808 0.85758465
#>  [73] 0.63605675 0.88971697 0.72748909 0.90025539 0.90550158 0.68332601
#>  [79] 0.96904714 0.40413143 0.95972659 0.83515319 0.81161461 0.55910437
#>  [85] 0.16628611 0.70595035 0.48456254 0.84648769 0.95028282 0.92591597
#>  [91] 0.87916925 0.76154295 0.32540044 0.92591597 0.29702217 0.71327338
#>  [97] 0.47496285 0.42650381 0.48456254 0.79347167 0.86838614 0.79347167
#> [103] 0.58544597 0.36784493 0.10507538 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   170    25    43   134  25.1    76    36    10    23    97    39   123    66 
#> 19.54  6.32 12.10 17.81  6.32 19.22 21.19 10.53 16.92 19.14 15.59 13.00 22.13 
#>   183   166 166.1    58   145  58.1 145.1    96    61    57    42    69   179 
#>  9.24 19.98 19.98 19.34 10.07 19.34 10.07 14.54 10.12 14.46 12.43 23.23 18.63 
#>  57.1 179.1    91   180    18  39.1     8   130    37   136    70  69.1    92 
#> 14.46 18.63  5.33 14.82 15.21 15.59 18.43 16.47 12.52 21.83  7.38 23.23 22.92 
#>    78    16  39.2    68  39.3   168   139    29    41   101  25.2 136.1 179.2 
#> 23.88  8.71 15.59 20.62 15.59 23.72 21.49 15.45 18.02  9.97  6.32 21.83 18.63 
#>    24   187 101.1    99  29.1   111  70.1   159  24.1   188 111.1   113 166.2 
#> 23.89  9.92  9.97 21.19 15.45 17.45  7.38 10.55 23.89 16.16 17.45 22.86 19.98 
#> 179.3    13    63  66.1  68.1 111.2  42.1    51  10.1     6    52    93  23.1 
#> 18.63 14.34 22.77 22.13 20.62 17.45 12.43 18.23 10.53 15.64 10.42 10.33 16.92 
#>  70.2   197  16.1 123.1  57.2  76.1    86   192   150   140 183.1 101.2 159.1 
#>  7.38 21.60  8.71 13.00 14.46 19.22 23.81 16.44 20.33 12.68  9.24  9.97 10.55 
#>   167    15 101.3  63.1 188.1   128  36.1 150.1  96.1    56  96.2 179.4 136.2 
#> 15.55 22.68  9.97 22.77 16.16 20.35 21.19 20.33 14.54 12.21 14.54 18.63 21.83 
#>  78.1    33   132    31   172    19     9   148   120   109    48  33.1    11 
#> 23.88 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2    74    27    17    22   144    72    46   2.1     7  11.1   173   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176  74.1    53  17.1    64   191   141 172.1  53.1 132.1    35  74.2  74.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131   146   2.2   112  48.1    65   135 144.1   138    83   126  27.1   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98  48.2    80    47   142    54   161 112.1    62    12   174    71  17.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103  54.1  19.1   9.1   185 132.2    75    34    82   151 178.1  98.1    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67 173.1 103.1 148.1  67.1  74.4  17.3 174.1  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[18]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0005622517              0.3660698796             -0.1021215342 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.361082990            -0.000391036             0.072187123 
#>   grade_iii, Cure model 
#>             1.456146228 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 4     17.64      1  NA        0         1
#> 69    23.23      1  25        0         1
#> 127    3.53      1  62        0         1
#> 107   11.18      1  54        1         0
#> 30    17.43      1  78        0         0
#> 45    17.42      1  54        0         1
#> 61    10.12      1  36        0         1
#> 70     7.38      1  30        1         0
#> 15    22.68      1  48        0         0
#> 153   21.33      1  55        1         0
#> 29    15.45      1  68        1         0
#> 97    19.14      1  65        0         1
#> 90    20.94      1  50        0         1
#> 57    14.46      1  45        0         1
#> 153.1 21.33      1  55        1         0
#> 52    10.42      1  52        0         1
#> 92    22.92      1  47        0         1
#> 41    18.02      1  40        1         0
#> 169   22.41      1  46        0         0
#> 183    9.24      1  67        1         0
#> 194   22.40      1  38        0         1
#> 14    12.89      1  21        0         0
#> 145   10.07      1  65        1         0
#> 180   14.82      1  37        0         0
#> 99    21.19      1  38        0         1
#> 69.1  23.23      1  25        0         1
#> 110   17.56      1  65        0         1
#> 114   13.68      1  NA        0         0
#> 14.1  12.89      1  21        0         0
#> 124    9.73      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 10    10.53      1  34        0         0
#> 166   19.98      1  48        0         0
#> 108   18.29      1  39        0         1
#> 189   10.51      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 99.1  21.19      1  38        0         1
#> 117   17.46      1  26        0         1
#> 91     5.33      1  61        0         1
#> 55    19.34      1  69        0         1
#> 92.1  22.92      1  47        0         1
#> 10.1  10.53      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 4.1   17.64      1  NA        0         1
#> 63    22.77      1  31        1         0
#> 117.1 17.46      1  26        0         1
#> 18    15.21      1  49        1         0
#> 91.1   5.33      1  61        0         1
#> 149    8.37      1  33        1         0
#> 42    12.43      1  49        0         1
#> 97.1  19.14      1  65        0         1
#> 41.1  18.02      1  40        1         0
#> 140   12.68      1  59        1         0
#> 69.2  23.23      1  25        0         1
#> 159   10.55      1  50        0         1
#> 113   22.86      1  34        0         0
#> 100   16.07      1  60        0         0
#> 68    20.62      1  44        0         0
#> 8     18.43      1  32        0         0
#> 111   17.45      1  47        0         1
#> 23    16.92      1  61        0         0
#> 32    20.90      1  37        1         0
#> 45.1  17.42      1  54        0         1
#> 124.1  9.73      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 89.1  11.44      1  NA        0         0
#> 192.1 16.44      1  31        1         0
#> 5     16.43      1  51        0         1
#> 85    16.44      1  36        0         0
#> 70.1   7.38      1  30        1         0
#> 56    12.21      1  60        0         0
#> 170   19.54      1  43        0         1
#> 175   21.91      1  43        0         0
#> 86    23.81      1  58        0         1
#> 16     8.71      1  71        0         1
#> 76    19.22      1  54        0         1
#> 133   14.65      1  57        0         0
#> 79    16.23      1  54        1         0
#> 4.2   17.64      1  NA        0         1
#> 30.1  17.43      1  78        0         0
#> 171   16.57      1  41        0         1
#> 127.1  3.53      1  62        0         1
#> 190   20.81      1  42        1         0
#> 42.1  12.43      1  49        0         1
#> 124.2  9.73      1  NA        1         0
#> 89.2  11.44      1  NA        0         0
#> 164   23.60      1  76        0         1
#> 61.1  10.12      1  36        0         1
#> 30.2  17.43      1  78        0         0
#> 113.1 22.86      1  34        0         0
#> 4.3   17.64      1  NA        0         1
#> 55.1  19.34      1  69        0         1
#> 81    14.06      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 57.1  14.46      1  45        0         1
#> 4.4   17.64      1  NA        0         1
#> 36    21.19      1  48        0         1
#> 108.1 18.29      1  39        0         1
#> 110.1 17.56      1  65        0         1
#> 190.1 20.81      1  42        1         0
#> 32.1  20.90      1  37        1         0
#> 164.1 23.60      1  76        0         1
#> 89.3  11.44      1  NA        0         0
#> 168   23.72      1  70        0         0
#> 150.1 20.33      1  48        0         0
#> 101    9.97      1  10        0         1
#> 58    19.34      1  39        0         0
#> 114.1 13.68      1  NA        0         0
#> 199.1 19.81      1  NA        0         1
#> 153.2 21.33      1  55        1         0
#> 37    12.52      1  57        1         0
#> 183.1  9.24      1  67        1         0
#> 71    24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 144   24.00      0  28        0         1
#> 115   24.00      0  NA        1         0
#> 103   24.00      0  56        1         0
#> 53    24.00      0  32        0         1
#> 148   24.00      0  61        1         0
#> 122   24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 172   24.00      0  41        0         0
#> 67    24.00      0  25        0         0
#> 3     24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 162   24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 121   24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 33    24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 103.1 24.00      0  56        1         0
#> 120   24.00      0  68        0         1
#> 7     24.00      0  37        1         0
#> 196   24.00      0  19        0         0
#> 132   24.00      0  55        0         0
#> 62    24.00      0  71        0         0
#> 33.1  24.00      0  53        0         0
#> 28.1  24.00      0  67        1         0
#> 12    24.00      0  63        0         0
#> 144.1 24.00      0  28        0         1
#> 84    24.00      0  39        0         1
#> 198   24.00      0  66        0         1
#> 165   24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 103.2 24.00      0  56        1         0
#> 185   24.00      0  44        1         0
#> 126.1 24.00      0  48        0         0
#> 182   24.00      0  35        0         0
#> 198.1 24.00      0  66        0         1
#> 109   24.00      0  48        0         0
#> 3.1   24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 151   24.00      0  42        0         0
#> 87    24.00      0  27        0         0
#> 165.1 24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 17    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 7.1   24.00      0  37        1         0
#> 71.1  24.00      0  51        0         0
#> 87.1  24.00      0  27        0         0
#> 151.1 24.00      0  42        0         0
#> 11    24.00      0  42        0         1
#> 80    24.00      0  41        0         0
#> 116   24.00      0  58        0         1
#> 64.1  24.00      0  43        0         0
#> 20    24.00      0  46        1         0
#> 54    24.00      0  53        1         0
#> 82.1  24.00      0  34        0         0
#> 174.1 24.00      0  49        1         0
#> 146   24.00      0  63        1         0
#> 35.1  24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 193   24.00      0  45        0         1
#> 48    24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 20.1  24.00      0  46        1         0
#> 27    24.00      0  63        1         0
#> 138.1 24.00      0  44        1         0
#> 160.1 24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 138.2 24.00      0  44        1         0
#> 3.2   24.00      0  31        1         0
#> 20.2  24.00      0  46        1         0
#> 109.1 24.00      0  48        0         0
#> 98    24.00      0  34        1         0
#> 162.1 24.00      0  51        0         0
#> 146.1 24.00      0  63        1         0
#> 28.2  24.00      0  67        1         0
#> 103.3 24.00      0  56        1         0
#> 191.1 24.00      0  60        0         1
#> 200.1 24.00      0  64        0         0
#> 53.1  24.00      0  32        0         1
#> 35.2  24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.361           NA        NA      NA
#> 2 age, Cure model         -0.000391        NA        NA      NA
#> 3 grade_ii, Cure model     0.0722          NA        NA      NA
#> 4 grade_iii, Cure model    1.46            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000562        NA        NA      NA
#> 2 grade_ii, Survival model   0.366           NA        NA      NA
#> 3 grade_iii, Survival model -0.102           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.361083         -0.000391          0.072187          1.456146  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    252 
#> Residual Deviance: 233.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.361082990     -0.000391036      0.072187123      1.456146228 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0005622517     0.3660698796    -0.1021215342 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.049909249 0.980019902 0.797627697 0.518055107 0.549134110 0.848706481
#>   [7] 0.930141181 0.138400484 0.185388684 0.653663090 0.392917183 0.248017043
#>  [13] 0.694956443 0.185388684 0.838448879 0.080740243 0.445359068 0.150075179
#>  [19] 0.889641474 0.161773558 0.725850512 0.869154313 0.674336480 0.216432478
#>  [25] 0.049909249 0.465963912 0.725850512 0.310707791 0.818089642 0.331098309
#>  [31] 0.424356084 0.950102126 0.216432478 0.486687543 0.960091825 0.351867631
#>  [37] 0.080740243 0.818089642 0.126752518 0.486687543 0.664032195 0.960091825
#>  [43] 0.920015278 0.766943790 0.392917183 0.445359068 0.746409388 0.049909249
#>  [49] 0.807850758 0.103687596 0.643229780 0.300358177 0.413783262 0.507508983
#>  [55] 0.570153415 0.259086805 0.549134110 0.591406310 0.591406310 0.622305392
#>  [61] 0.591406310 0.930141181 0.787352100 0.341464224 0.173571376 0.005260449
#>  [67] 0.909842852 0.382415153 0.684644012 0.632802085 0.518055107 0.580768422
#>  [73] 0.980019902 0.280032453 0.766943790 0.028482782 0.848706481 0.518055107
#>  [79] 0.103687596 0.351867631 0.715500722 0.694956443 0.216432478 0.424356084
#>  [85] 0.465963912 0.280032453 0.259086805 0.028482782 0.016517932 0.310707791
#>  [91] 0.879391799 0.351867631 0.185388684 0.756704210 0.889641474 0.000000000
#>  [97] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000
#> 
#> $Time
#>    69   127   107    30    45    61    70    15   153    29    97    90    57 
#> 23.23  3.53 11.18 17.43 17.42 10.12  7.38 22.68 21.33 15.45 19.14 20.94 14.46 
#> 153.1    52    92    41   169   183   194    14   145   180    99  69.1   110 
#> 21.33 10.42 22.92 18.02 22.41  9.24 22.40 12.89 10.07 14.82 21.19 23.23 17.56 
#>  14.1   150    10   166   108    25  99.1   117    91    55  92.1  10.1    63 
#> 12.89 20.33 10.53 19.98 18.29  6.32 21.19 17.46  5.33 19.34 22.92 10.53 22.77 
#> 117.1    18  91.1   149    42  97.1  41.1   140  69.2   159   113   100    68 
#> 17.46 15.21  5.33  8.37 12.43 19.14 18.02 12.68 23.23 10.55 22.86 16.07 20.62 
#>     8   111    23    32  45.1   192 192.1     5    85  70.1    56   170   175 
#> 18.43 17.45 16.92 20.90 17.42 16.44 16.44 16.43 16.44  7.38 12.21 19.54 21.91 
#>    86    16    76   133    79  30.1   171 127.1   190  42.1   164  61.1  30.2 
#> 23.81  8.71 19.22 14.65 16.23 17.43 16.57  3.53 20.81 12.43 23.60 10.12 17.43 
#> 113.1  55.1    81  57.1    36 108.1 110.1 190.1  32.1 164.1   168 150.1   101 
#> 22.86 19.34 14.06 14.46 21.19 18.29 17.56 20.81 20.90 23.60 23.72 20.33  9.97 
#>    58 153.2    37 183.1    71    35    28   144   103    53   148   122   102 
#> 19.34 21.33 12.52  9.24 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172    67     3   160   174   162    82   121   118   138    64    33   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.1   120     7   196   132    62  33.1  28.1    12 144.1    84   198   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126     9 103.2   185 126.1   182 198.1   109   3.1    44   151    87 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191    17   147   7.1  71.1  87.1 151.1    11    80   116  64.1    20    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1 174.1   146  35.1    21   193    48    72  20.1    27 138.1 160.1   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.2   3.2  20.2 109.1    98 162.1 146.1  28.2 103.3 191.1 200.1  53.1  35.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[19]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01042215                0.49538144                0.35944266 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.620211532             0.003627298             0.491335143 
#>   grade_iii, Cure model 
#>             1.581156629 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 40    18.00      1  28        1         0
#> 157   15.10      1  47        0         0
#> 171   16.57      1  41        0         1
#> 61    10.12      1  36        0         1
#> 8     18.43      1  32        0         0
#> 125   15.65      1  67        1         0
#> 32    20.90      1  37        1         0
#> 81    14.06      1  34        0         0
#> 92    22.92      1  47        0         1
#> 29    15.45      1  68        1         0
#> 5     16.43      1  51        0         1
#> 43    12.10      1  61        0         1
#> 25     6.32      1  34        1         0
#> 93    10.33      1  52        0         1
#> 41    18.02      1  40        1         0
#> 195   11.76      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 86    23.81      1  58        0         1
#> 164   23.60      1  76        0         1
#> 14    12.89      1  21        0         0
#> 181   16.46      1  45        0         1
#> 36    21.19      1  48        0         1
#> 29.1  15.45      1  68        1         0
#> 37    12.52      1  57        1         0
#> 192   16.44      1  31        1         0
#> 179   18.63      1  42        0         0
#> 127    3.53      1  62        0         1
#> 168   23.72      1  70        0         0
#> 128   20.35      1  35        0         1
#> 159   10.55      1  50        0         1
#> 42    12.43      1  49        0         1
#> 168.1 23.72      1  70        0         0
#> 16     8.71      1  71        0         1
#> 124    9.73      1  NA        1         0
#> 157.1 15.10      1  47        0         0
#> 133   14.65      1  57        0         0
#> 171.1 16.57      1  41        0         1
#> 78    23.88      1  43        0         0
#> 195.1 11.76      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 133.1 14.65      1  57        0         0
#> 85    16.44      1  36        0         0
#> 190   20.81      1  42        1         0
#> 43.1  12.10      1  61        0         1
#> 10    10.53      1  34        0         0
#> 124.1  9.73      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 175   21.91      1  43        0         0
#> 40.1  18.00      1  28        1         0
#> 99    21.19      1  38        0         1
#> 39    15.59      1  37        0         1
#> 99.1  21.19      1  38        0         1
#> 128.1 20.35      1  35        0         1
#> 4     17.64      1  NA        0         1
#> 5.1   16.43      1  51        0         1
#> 192.1 16.44      1  31        1         0
#> 129   23.41      1  53        1         0
#> 167   15.55      1  56        1         0
#> 50    10.02      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 157.2 15.10      1  47        0         0
#> 42.1  12.43      1  49        0         1
#> 37.1  12.52      1  57        1         0
#> 13    14.34      1  54        0         1
#> 91     5.33      1  61        0         1
#> 66    22.13      1  53        0         0
#> 188   16.16      1  46        0         1
#> 194   22.40      1  38        0         1
#> 70     7.38      1  30        1         0
#> 14.1  12.89      1  21        0         0
#> 70.1   7.38      1  30        1         0
#> 117.1 17.46      1  26        0         1
#> 61.1  10.12      1  36        0         1
#> 169   22.41      1  46        0         0
#> 145   10.07      1  65        1         0
#> 81.1  14.06      1  34        0         0
#> 49    12.19      1  48        1         0
#> 86.1  23.81      1  58        0         1
#> 188.1 16.16      1  46        0         1
#> 100   16.07      1  60        0         0
#> 130   16.47      1  53        0         1
#> 123   13.00      1  44        1         0
#> 105   19.75      1  60        0         0
#> 26    15.77      1  49        0         1
#> 107   11.18      1  54        1         0
#> 85.1  16.44      1  36        0         0
#> 96    14.54      1  33        0         1
#> 164.1 23.60      1  76        0         1
#> 197   21.60      1  69        1         0
#> 68    20.62      1  44        0         0
#> 16.1   8.71      1  71        0         1
#> 97    19.14      1  65        0         1
#> 149    8.37      1  33        1         0
#> 76    19.22      1  54        0         1
#> 40.2  18.00      1  28        1         0
#> 130.1 16.47      1  53        0         1
#> 43.2  12.10      1  61        0         1
#> 13.1  14.34      1  54        0         1
#> 5.2   16.43      1  51        0         1
#> 52    10.42      1  52        0         1
#> 5.3   16.43      1  51        0         1
#> 79    16.23      1  54        1         0
#> 63    22.77      1  31        1         0
#> 159.1 10.55      1  50        0         1
#> 154   12.63      1  20        1         0
#> 52.1  10.42      1  52        0         1
#> 197.1 21.60      1  69        1         0
#> 159.2 10.55      1  50        0         1
#> 107.1 11.18      1  54        1         0
#> 5.4   16.43      1  51        0         1
#> 155   13.08      1  26        0         0
#> 113   22.86      1  34        0         0
#> 11    24.00      0  42        0         1
#> 172   24.00      0  41        0         0
#> 173   24.00      0  19        0         1
#> 38    24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 156   24.00      0  50        1         0
#> 156.1 24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 122   24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 62    24.00      0  71        0         0
#> 186   24.00      0  45        1         0
#> 138   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 19    24.00      0  57        0         1
#> 11.1  24.00      0  42        0         1
#> 83.1  24.00      0   6        0         0
#> 7     24.00      0  37        1         0
#> 73    24.00      0  NA        0         1
#> 163   24.00      0  66        0         0
#> 3     24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 87    24.00      0  27        0         0
#> 98    24.00      0  34        1         0
#> 186.1 24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 141   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 156.2 24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 112   24.00      0  61        0         0
#> 173.1 24.00      0  19        0         1
#> 95    24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 193   24.00      0  45        0         1
#> 74    24.00      0  43        0         1
#> 98.1  24.00      0  34        1         0
#> 74.1  24.00      0  43        0         1
#> 12    24.00      0  63        0         0
#> 135   24.00      0  58        1         0
#> 104   24.00      0  50        1         0
#> 131   24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 65    24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 132   24.00      0  55        0         0
#> 62.1  24.00      0  71        0         0
#> 33.1  24.00      0  53        0         0
#> 9.1   24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 94    24.00      0  51        0         1
#> 186.2 24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 83.2  24.00      0   6        0         0
#> 102   24.00      0  49        0         0
#> 104.1 24.00      0  50        1         0
#> 27    24.00      0  63        1         0
#> 109   24.00      0  48        0         0
#> 35    24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 200   24.00      0  64        0         0
#> 104.2 24.00      0  50        1         0
#> 3.1   24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 120   24.00      0  68        0         1
#> 148   24.00      0  61        1         0
#> 94.1  24.00      0  51        0         1
#> 196   24.00      0  19        0         0
#> 87.1  24.00      0  27        0         0
#> 21    24.00      0  47        0         0
#> 165.1 24.00      0  47        0         0
#> 17    24.00      0  38        0         1
#> 12.1  24.00      0  63        0         0
#> 64.1  24.00      0  43        0         0
#> 71    24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 151.1 24.00      0  42        0         0
#> 196.1 24.00      0  19        0         0
#> 109.1 24.00      0  48        0         0
#> 34.1  24.00      0  36        0         0
#> 94.2  24.00      0  51        0         1
#> 62.2  24.00      0  71        0         0
#> 21.1  24.00      0  47        0         0
#> 12.2  24.00      0  63        0         0
#> 141.1 24.00      0  44        1         0
#> 102.1 24.00      0  49        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.620          NA        NA      NA
#> 2 age, Cure model          0.00363        NA        NA      NA
#> 3 grade_ii, Cure model     0.491          NA        NA      NA
#> 4 grade_iii, Cure model    1.58           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0104        NA        NA      NA
#> 2 grade_ii, Survival model    0.495         NA        NA      NA
#> 3 grade_iii, Survival model   0.359         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.620212          0.003627          0.491335          1.581157  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 244.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.620211532      0.003627298      0.491335143      1.581156629 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01042215       0.49538144       0.35944266 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.249212366 0.542413494 0.304246587 0.879511063 0.229906572 0.482855815
#>   [7] 0.139713362 0.624128274 0.042821289 0.512601829 0.387844406 0.750707654
#>  [13] 0.967045086 0.868570401 0.239575320 0.532411773 0.004883058 0.022745871
#>  [19] 0.666173205 0.341510456 0.114941714 0.512601829 0.697855350 0.351033149
#>  [25] 0.220351821 0.988984793 0.012099337 0.166042636 0.803926570 0.718913142
#>  [31] 0.012099337 0.912230157 0.542413494 0.572501815 0.304246587 0.001020563
#>  [37] 0.192425952 0.572501815 0.351033149 0.148449564 0.750707654 0.835999484
#>  [43] 0.276340324 0.089502214 0.249212366 0.114941714 0.492762202 0.114941714
#>  [49] 0.166042636 0.387844406 0.351033149 0.035595268 0.502673744 0.285783263
#>  [55] 0.542413494 0.718913142 0.697855350 0.603436433 0.978000086 0.081249237
#>  [61] 0.443863021 0.073337714 0.945221960 0.666173205 0.945221960 0.285783263
#>  [67] 0.879511063 0.065457536 0.901264726 0.624128274 0.740057906 0.004883058
#>  [73] 0.443863021 0.463146246 0.322784048 0.655603242 0.183352427 0.472986618
#>  [79] 0.782528276 0.351033149 0.593066305 0.022745871 0.098039912 0.157155518
#>  [85] 0.912230157 0.210941759 0.934195355 0.201644719 0.249212366 0.322784048
#>  [91] 0.750707654 0.603436433 0.387844406 0.846872195 0.387844406 0.434162593
#>  [97] 0.057923444 0.803926570 0.687276056 0.846872195 0.098039912 0.803926570
#> [103] 0.782528276 0.387844406 0.645026890 0.050202256 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    40   157   171    61     8   125    32    81    92    29     5    43    25 
#> 18.00 15.10 16.57 10.12 18.43 15.65 20.90 14.06 22.92 15.45 16.43 12.10  6.32 
#>    93    41    18    86   164    14   181    36  29.1    37   192   179   127 
#> 10.33 18.02 15.21 23.81 23.60 12.89 16.46 21.19 15.45 12.52 16.44 18.63  3.53 
#>   168   128   159    42 168.1    16 157.1   133 171.1    78    58 133.1    85 
#> 23.72 20.35 10.55 12.43 23.72  8.71 15.10 14.65 16.57 23.88 19.34 14.65 16.44 
#>   190  43.1    10   110   175  40.1    99    39  99.1 128.1   5.1 192.1   129 
#> 20.81 12.10 10.53 17.56 21.91 18.00 21.19 15.59 21.19 20.35 16.43 16.44 23.41 
#>   167   117 157.2  42.1  37.1    13    91    66   188   194    70  14.1  70.1 
#> 15.55 17.46 15.10 12.43 12.52 14.34  5.33 22.13 16.16 22.40  7.38 12.89  7.38 
#> 117.1  61.1   169   145  81.1    49  86.1 188.1   100   130   123   105    26 
#> 17.46 10.12 22.41 10.07 14.06 12.19 23.81 16.16 16.07 16.47 13.00 19.75 15.77 
#>   107  85.1    96 164.1   197    68  16.1    97   149    76  40.2 130.1  43.2 
#> 11.18 16.44 14.54 23.60 21.60 20.62  8.71 19.14  8.37 19.22 18.00 16.47 12.10 
#>  13.1   5.2    52   5.3    79    63 159.1   154  52.1 197.1 159.2 107.1   5.4 
#> 14.34 16.43 10.42 16.43 16.23 22.77 10.55 12.63 10.42 21.60 10.55 11.18 16.43 
#>   155   113    11   172   173    38    64   156 156.1   160    83   122   137 
#> 13.08 22.86 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165    62   186   138    75    19  11.1  83.1     7   163     3    87    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.1   151   141     9 156.2    33   112 173.1    95    34   193    74  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1    12   135   104   131   178    65   198   132  62.1  33.1   9.1 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94 186.2    72  83.2   102 104.1    27   109    35   126   200 104.2   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   120   148  94.1   196  87.1    21 165.1    17  12.1  64.1    71   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1 196.1 109.1  34.1  94.2  62.2  21.1  12.2 141.1 102.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[20]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01164842                0.29377687                0.30421117 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.07573894              0.01890611              0.19651332 
#>   grade_iii, Cure model 
#>              1.22092007 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 92    22.92      1  47        0         1
#> 129   23.41      1  53        1         0
#> 124    9.73      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 190   20.81      1  42        1         0
#> 26    15.77      1  49        0         1
#> 155   13.08      1  26        0         0
#> 57    14.46      1  45        0         1
#> 197   21.60      1  69        1         0
#> 168   23.72      1  70        0         0
#> 55    19.34      1  69        0         1
#> 190.1 20.81      1  42        1         0
#> 106   16.67      1  49        1         0
#> 97    19.14      1  65        0         1
#> 51    18.23      1  83        0         1
#> 79    16.23      1  54        1         0
#> 5     16.43      1  51        0         1
#> 18    15.21      1  49        1         0
#> 157   15.10      1  47        0         0
#> 180   14.82      1  37        0         0
#> 96    14.54      1  33        0         1
#> 179   18.63      1  42        0         0
#> 99    21.19      1  38        0         1
#> 4     17.64      1  NA        0         1
#> 91     5.33      1  61        0         1
#> 194   22.40      1  38        0         1
#> 55.1  19.34      1  69        0         1
#> 184   17.77      1  38        0         0
#> 39.1  15.59      1  37        0         1
#> 18.1  15.21      1  49        1         0
#> 57.1  14.46      1  45        0         1
#> 56    12.21      1  60        0         0
#> 140   12.68      1  59        1         0
#> 88    18.37      1  47        0         0
#> 66    22.13      1  53        0         0
#> 97.1  19.14      1  65        0         1
#> 76    19.22      1  54        0         1
#> 40    18.00      1  28        1         0
#> 177   12.53      1  75        0         0
#> 155.1 13.08      1  26        0         0
#> 197.1 21.60      1  69        1         0
#> 43    12.10      1  61        0         1
#> 168.1 23.72      1  70        0         0
#> 26.1  15.77      1  49        0         1
#> 199   19.81      1  NA        0         1
#> 13    14.34      1  54        0         1
#> 14    12.89      1  21        0         0
#> 136   21.83      1  43        0         1
#> 88.1  18.37      1  47        0         0
#> 49    12.19      1  48        1         0
#> 90    20.94      1  50        0         1
#> 129.1 23.41      1  53        1         0
#> 16     8.71      1  71        0         1
#> 154   12.63      1  20        1         0
#> 114   13.68      1  NA        0         0
#> 24    23.89      1  38        0         0
#> 16.1   8.71      1  71        0         1
#> 50    10.02      1  NA        1         0
#> 49.1  12.19      1  48        1         0
#> 164   23.60      1  76        0         1
#> 133   14.65      1  57        0         0
#> 49.2  12.19      1  48        1         0
#> 192   16.44      1  31        1         0
#> 149    8.37      1  33        1         0
#> 40.1  18.00      1  28        1         0
#> 129.2 23.41      1  53        1         0
#> 4.1   17.64      1  NA        0         1
#> 180.1 14.82      1  37        0         0
#> 41    18.02      1  40        1         0
#> 57.2  14.46      1  45        0         1
#> 133.1 14.65      1  57        0         0
#> 188   16.16      1  46        0         1
#> 188.1 16.16      1  46        0         1
#> 183    9.24      1  67        1         0
#> 189   10.51      1  NA        1         0
#> 190.2 20.81      1  42        1         0
#> 184.1 17.77      1  38        0         0
#> 190.3 20.81      1  42        1         0
#> 40.2  18.00      1  28        1         0
#> 157.1 15.10      1  47        0         0
#> 170   19.54      1  43        0         1
#> 29    15.45      1  68        1         0
#> 97.2  19.14      1  65        0         1
#> 56.1  12.21      1  60        0         0
#> 92.1  22.92      1  47        0         1
#> 194.1 22.40      1  38        0         1
#> 171   16.57      1  41        0         1
#> 6     15.64      1  39        0         0
#> 43.1  12.10      1  61        0         1
#> 57.3  14.46      1  45        0         1
#> 153   21.33      1  55        1         0
#> 96.1  14.54      1  33        0         1
#> 187    9.92      1  39        1         0
#> 192.1 16.44      1  31        1         0
#> 68    20.62      1  44        0         0
#> 158   20.14      1  74        1         0
#> 187.1  9.92      1  39        1         0
#> 149.1  8.37      1  33        1         0
#> 59    10.16      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 149.2  8.37      1  33        1         0
#> 150   20.33      1  48        0         0
#> 59.1  10.16      1  NA        1         0
#> 177.1 12.53      1  75        0         0
#> 14.1  12.89      1  21        0         0
#> 175   21.91      1  43        0         0
#> 192.2 16.44      1  31        1         0
#> 125   15.65      1  67        1         0
#> 169   22.41      1  46        0         0
#> 14.2  12.89      1  21        0         0
#> 24.1  23.89      1  38        0         0
#> 159   10.55      1  50        0         1
#> 34    24.00      0  36        0         0
#> 156   24.00      0  50        1         0
#> 35    24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 38    24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 178   24.00      0  52        1         0
#> 142   24.00      0  53        0         0
#> 34.1  24.00      0  36        0         0
#> 109.1 24.00      0  48        0         0
#> 163   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 31    24.00      0  36        0         1
#> 144   24.00      0  28        0         1
#> 71    24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 53    24.00      0  32        0         1
#> 142.1 24.00      0  53        0         0
#> 116   24.00      0  58        0         1
#> 98    24.00      0  34        1         0
#> 156.1 24.00      0  50        1         0
#> 67    24.00      0  25        0         0
#> 103   24.00      0  56        1         0
#> 172   24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 27    24.00      0  63        1         0
#> 75    24.00      0  21        1         0
#> 21    24.00      0  47        0         0
#> 83    24.00      0   6        0         0
#> 156.2 24.00      0  50        1         0
#> 87    24.00      0  27        0         0
#> 71.1  24.00      0  51        0         0
#> 178.1 24.00      0  52        1         0
#> 87.1  24.00      0  27        0         0
#> 73    24.00      0  NA        0         1
#> 109.2 24.00      0  48        0         0
#> 126   24.00      0  48        0         0
#> 17    24.00      0  38        0         1
#> 65    24.00      0  57        1         0
#> 119   24.00      0  17        0         0
#> 174   24.00      0  49        1         0
#> 7     24.00      0  37        1         0
#> 54    24.00      0  53        1         0
#> 186   24.00      0  45        1         0
#> 146   24.00      0  63        1         0
#> 137   24.00      0  45        1         0
#> 20    24.00      0  46        1         0
#> 7.1   24.00      0  37        1         0
#> 102   24.00      0  49        0         0
#> 64    24.00      0  43        0         0
#> 174.1 24.00      0  49        1         0
#> 160   24.00      0  31        1         0
#> 71.2  24.00      0  51        0         0
#> 21.1  24.00      0  47        0         0
#> 95    24.00      0  68        0         1
#> 118   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 172.1 24.00      0  41        0         0
#> 83.1  24.00      0   6        0         0
#> 141   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 118.1 24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 109.3 24.00      0  48        0         0
#> 17.1  24.00      0  38        0         1
#> 64.1  24.00      0  43        0         0
#> 74    24.00      0  43        0         1
#> 19    24.00      0  57        0         1
#> 172.2 24.00      0  41        0         0
#> 193   24.00      0  45        0         1
#> 74.1  24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 9     24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 196   24.00      0  19        0         0
#> 87.2  24.00      0  27        0         0
#> 27.1  24.00      0  63        1         0
#> 67.1  24.00      0  25        0         0
#> 132.1 24.00      0  55        0         0
#> 83.2  24.00      0   6        0         0
#> 156.3 24.00      0  50        1         0
#> 141.1 24.00      0  44        1         0
#> 178.2 24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 137.1 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.08          NA        NA      NA
#> 2 age, Cure model           0.0189        NA        NA      NA
#> 3 grade_ii, Cure model      0.197         NA        NA      NA
#> 4 grade_iii, Cure model     1.22          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0116        NA        NA      NA
#> 2 grade_ii, Survival model    0.294         NA        NA      NA
#> 3 grade_iii, Survival model   0.304         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.07574           0.01891           0.19651           1.22092  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 246.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.07573894       0.01890611       0.19651332       1.22092007 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01164842       0.29377687       0.30421117 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0282636089 0.0153217667 0.4653326244 0.1111200413 0.4225571138
#>   [6] 0.6702262114 0.6118242665 0.0752400286 0.0042249355 0.1720428139
#>  [11] 0.1111200413 0.3201435228 0.1976833707 0.2521473471 0.3912302792
#>  [16] 0.3808502555 0.4979866354 0.5200387834 0.5424924310 0.5885147927
#>  [21] 0.2240174130 0.0962365800 0.9865980980 0.0443712231 0.1720428139
#>  [26] 0.3003302301 0.4653326244 0.4979866354 0.6118242665 0.7796428152
#>  [31] 0.7302588775 0.2333106161 0.0557017008 0.1976833707 0.1889307128
#>  [36] 0.2717687775 0.7548237861 0.6702262114 0.0752400286 0.8428146547
#>  [41] 0.0042249355 0.4225571138 0.6582415440 0.6942033661 0.0685632323
#>  [46] 0.2333106161 0.8048656533 0.1036133260 0.0153217667 0.9206990137
#>  [51] 0.7425476981 0.0008906467 0.9206990137 0.8048656533 0.0106209456
#>  [56] 0.5652763528 0.8048656533 0.3507519714 0.9471127356 0.2717687775
#>  [61] 0.0153217667 0.5424924310 0.2619289861 0.6118242665 0.5652763528
#>  [66] 0.4016893547 0.4016893547 0.9075507705 0.1111200413 0.3003302301
#>  [71] 0.1111200413 0.2717687775 0.5200387834 0.1637112756 0.4869553172
#>  [76] 0.1976833707 0.7796428152 0.0282636089 0.0443712231 0.3302855451
#>  [81] 0.4544536773 0.8428146547 0.6118242665 0.0889324487 0.5885147927
#>  [86] 0.8815886506 0.3507519714 0.1394986474 0.1554548305 0.8815886506
#>  [91] 0.9471127356 0.3404774041 0.9471127356 0.1473842396 0.7548237861
#>  [96] 0.6942033661 0.0620009395 0.3507519714 0.4436689957 0.0385056443
#> [101] 0.6942033661 0.0008906467 0.8685679008 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    92   129    39   190    26   155    57   197   168    55 190.1   106    97 
#> 22.92 23.41 15.59 20.81 15.77 13.08 14.46 21.60 23.72 19.34 20.81 16.67 19.14 
#>    51    79     5    18   157   180    96   179    99    91   194  55.1   184 
#> 18.23 16.23 16.43 15.21 15.10 14.82 14.54 18.63 21.19  5.33 22.40 19.34 17.77 
#>  39.1  18.1  57.1    56   140    88    66  97.1    76    40   177 155.1 197.1 
#> 15.59 15.21 14.46 12.21 12.68 18.37 22.13 19.14 19.22 18.00 12.53 13.08 21.60 
#>    43 168.1  26.1    13    14   136  88.1    49    90 129.1    16   154    24 
#> 12.10 23.72 15.77 14.34 12.89 21.83 18.37 12.19 20.94 23.41  8.71 12.63 23.89 
#>  16.1  49.1   164   133  49.2   192   149  40.1 129.2 180.1    41  57.2 133.1 
#>  8.71 12.19 23.60 14.65 12.19 16.44  8.37 18.00 23.41 14.82 18.02 14.46 14.65 
#>   188 188.1   183 190.2 184.1 190.3  40.2 157.1   170    29  97.2  56.1  92.1 
#> 16.16 16.16  9.24 20.81 17.77 20.81 18.00 15.10 19.54 15.45 19.14 12.21 22.92 
#> 194.1   171     6  43.1  57.3   153  96.1   187 192.1    68   158 187.1 149.1 
#> 22.40 16.57 15.64 12.10 14.46 21.33 14.54  9.92 16.44 20.62 20.14  9.92  8.37 
#>   130 149.2   150 177.1  14.1   175 192.2   125   169  14.2  24.1   159    34 
#> 16.47  8.37 20.33 12.53 12.89 21.91 16.44 15.65 22.41 12.89 23.89 10.55 24.00 
#>   156    35   109    38    80   185    28   178   142  34.1 109.1   163   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   144    71     1    53 142.1   116    98 156.1    67   103   172    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    75    21    83 156.2    87  71.1 178.1  87.1 109.2   126    17    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   174     7    54   186   146   137    20   7.1   102    64 174.1   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.2  21.1    95   118   147 172.1  83.1   141   138   162 118.1   143 109.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1  64.1    74    19 172.2   193  74.1    47     9   182   196  87.2  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1 132.1  83.2 156.3 141.1 178.2   122 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[21]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004161586               0.810497719               0.655422691 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.226590269             0.002680734            -0.143991208 
#>   grade_iii, Cure model 
#>             1.119902059 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 13    14.34      1  54        0         1
#> 187    9.92      1  39        1         0
#> 164   23.60      1  76        0         1
#> 175   21.91      1  43        0         0
#> 56    12.21      1  60        0         0
#> 52    10.42      1  52        0         1
#> 41    18.02      1  40        1         0
#> 24    23.89      1  38        0         0
#> 10    10.53      1  34        0         0
#> 188   16.16      1  46        0         1
#> 68    20.62      1  44        0         0
#> 61    10.12      1  36        0         1
#> 76    19.22      1  54        0         1
#> 113   22.86      1  34        0         0
#> 36    21.19      1  48        0         1
#> 192   16.44      1  31        1         0
#> 124    9.73      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 192.1 16.44      1  31        1         0
#> 139   21.49      1  63        1         0
#> 15    22.68      1  48        0         0
#> 96    14.54      1  33        0         1
#> 56.1  12.21      1  60        0         0
#> 36.1  21.19      1  48        0         1
#> 14    12.89      1  21        0         0
#> 36.2  21.19      1  48        0         1
#> 78    23.88      1  43        0         0
#> 93    10.33      1  52        0         1
#> 68.1  20.62      1  44        0         0
#> 93.1  10.33      1  52        0         1
#> 111   17.45      1  47        0         1
#> 91     5.33      1  61        0         1
#> 183    9.24      1  67        1         0
#> 25     6.32      1  34        1         0
#> 189   10.51      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 97.1  19.14      1  65        0         1
#> 43    12.10      1  61        0         1
#> 88    18.37      1  47        0         0
#> 16     8.71      1  71        0         1
#> 199   19.81      1  NA        0         1
#> 26    15.77      1  49        0         1
#> 16.1   8.71      1  71        0         1
#> 180   14.82      1  37        0         0
#> 179   18.63      1  42        0         0
#> 168   23.72      1  70        0         0
#> 167   15.55      1  56        1         0
#> 106   16.67      1  49        1         0
#> 6     15.64      1  39        0         0
#> 25.1   6.32      1  34        1         0
#> 58    19.34      1  39        0         0
#> 68.2  20.62      1  44        0         0
#> 86    23.81      1  58        0         1
#> 91.1   5.33      1  61        0         1
#> 50    10.02      1  NA        1         0
#> 192.2 16.44      1  31        1         0
#> 192.3 16.44      1  31        1         0
#> 45    17.42      1  54        0         1
#> 190   20.81      1  42        1         0
#> 57    14.46      1  45        0         1
#> 175.1 21.91      1  43        0         0
#> 55    19.34      1  69        0         1
#> 150   20.33      1  48        0         0
#> 179.1 18.63      1  42        0         0
#> 8     18.43      1  32        0         0
#> 181   16.46      1  45        0         1
#> 93.2  10.33      1  52        0         1
#> 124.1  9.73      1  NA        1         0
#> 13.1  14.34      1  54        0         1
#> 63    22.77      1  31        1         0
#> 99    21.19      1  38        0         1
#> 175.2 21.91      1  43        0         0
#> 39.1  15.59      1  37        0         1
#> 167.1 15.55      1  56        1         0
#> 180.1 14.82      1  37        0         0
#> 16.2   8.71      1  71        0         1
#> 43.1  12.10      1  61        0         1
#> 40    18.00      1  28        1         0
#> 134   17.81      1  47        1         0
#> 86.1  23.81      1  58        0         1
#> 134.1 17.81      1  47        1         0
#> 195   11.76      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 190.1 20.81      1  42        1         0
#> 79    16.23      1  54        1         0
#> 81    14.06      1  34        0         0
#> 179.2 18.63      1  42        0         0
#> 158   20.14      1  74        1         0
#> 107   11.18      1  54        1         0
#> 125   15.65      1  67        1         0
#> 76.1  19.22      1  54        0         1
#> 76.2  19.22      1  54        0         1
#> 5     16.43      1  51        0         1
#> 105   19.75      1  60        0         0
#> 189.1 10.51      1  NA        1         0
#> 58.1  19.34      1  39        0         0
#> 130.1 16.47      1  53        0         1
#> 149    8.37      1  33        1         0
#> 57.1  14.46      1  45        0         1
#> 168.1 23.72      1  70        0         0
#> 15.1  22.68      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 140   12.68      1  59        1         0
#> 77     7.27      1  67        0         1
#> 105.1 19.75      1  60        0         0
#> 8.1   18.43      1  32        0         0
#> 81.1  14.06      1  34        0         0
#> 78.1  23.88      1  43        0         0
#> 155   13.08      1  26        0         0
#> 69    23.23      1  25        0         1
#> 15.2  22.68      1  48        0         0
#> 195.1 11.76      1  NA        1         0
#> 20    24.00      0  46        1         0
#> 200   24.00      0  64        0         0
#> 103   24.00      0  56        1         0
#> 82    24.00      0  34        0         0
#> 33    24.00      0  53        0         0
#> 82.1  24.00      0  34        0         0
#> 38    24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 109   24.00      0  48        0         0
#> 33.1  24.00      0  53        0         0
#> 20.1  24.00      0  46        1         0
#> 122   24.00      0  66        0         0
#> 193   24.00      0  45        0         1
#> 53    24.00      0  32        0         1
#> 33.2  24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 20.2  24.00      0  46        1         0
#> 119   24.00      0  17        0         0
#> 71    24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 11    24.00      0  42        0         1
#> 146   24.00      0  63        1         0
#> 34.1  24.00      0  36        0         0
#> 20.3  24.00      0  46        1         0
#> 21    24.00      0  47        0         0
#> 200.1 24.00      0  64        0         0
#> 121   24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 33.3  24.00      0  53        0         0
#> 152   24.00      0  36        0         1
#> 148   24.00      0  61        1         0
#> 131   24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 109.1 24.00      0  48        0         0
#> 151   24.00      0  42        0         0
#> 193.1 24.00      0  45        0         1
#> 19    24.00      0  57        0         1
#> 87    24.00      0  27        0         0
#> 137   24.00      0  45        1         0
#> 147   24.00      0  76        1         0
#> 87.1  24.00      0  27        0         0
#> 148.1 24.00      0  61        1         0
#> 141   24.00      0  44        1         0
#> 38.1  24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 103.1 24.00      0  56        1         0
#> 163   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 142   24.00      0  53        0         0
#> 122.1 24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 186   24.00      0  45        1         0
#> 138.1 24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 54    24.00      0  53        1         0
#> 146.1 24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 75    24.00      0  21        1         0
#> 121.1 24.00      0  57        1         0
#> 19.1  24.00      0  57        0         1
#> 142.1 24.00      0  53        0         0
#> 196   24.00      0  19        0         0
#> 71.1  24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 33.4  24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 31    24.00      0  36        0         1
#> 119.1 24.00      0  17        0         0
#> 84    24.00      0  39        0         1
#> 84.1  24.00      0  39        0         1
#> 46    24.00      0  71        0         0
#> 84.2  24.00      0  39        0         1
#> 141.1 24.00      0  44        1         0
#> 44.1  24.00      0  56        0         0
#> 152.1 24.00      0  36        0         1
#> 116   24.00      0  58        0         1
#> 75.1  24.00      0  21        1         0
#> 75.2  24.00      0  21        1         0
#> 67.1  24.00      0  25        0         0
#> 54.1  24.00      0  53        1         0
#> 95    24.00      0  68        0         1
#> 28    24.00      0  67        1         0
#> 137.1 24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 64.1  24.00      0  43        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.227          NA        NA      NA
#> 2 age, Cure model          0.00268        NA        NA      NA
#> 3 grade_ii, Cure model    -0.144          NA        NA      NA
#> 4 grade_iii, Cure model    1.12           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00416        NA        NA      NA
#> 2 grade_ii, Survival model   0.810          NA        NA      NA
#> 3 grade_iii, Survival model  0.655          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.226590          0.002681         -0.143991          1.119902  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 249 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.226590269      0.002680734     -0.143991208      1.119902059 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004161586      0.810497719      0.655422691 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.783893697 0.921074370 0.116463569 0.207473938 0.837903751 0.883800344
#>   [7] 0.535801740 0.008588496 0.876179434 0.679793571 0.321366975 0.913636342
#>  [13] 0.426172740 0.144617766 0.257856540 0.629556345 0.456125499 0.629556345
#>  [19] 0.245110634 0.170938094 0.760445510 0.837903751 0.257856540 0.822440718
#>  [25] 0.257856540 0.027708913 0.891385206 0.321366975 0.891385206 0.574508370
#>  [31] 0.985970731 0.928458015 0.971842124 0.712743298 0.456125499 0.853303563
#>  [37] 0.525634721 0.935800682 0.688104141 0.935800682 0.744603484 0.475908197
#>  [43] 0.087684763 0.728809424 0.593297904 0.704543424 0.971842124 0.395043641
#>  [49] 0.321366975 0.061161069 0.985970731 0.629556345 0.629556345 0.583943818
#>  [55] 0.300559870 0.768352014 0.207473938 0.395043641 0.352567496 0.475908197
#>  [61] 0.505565636 0.620555888 0.891385206 0.783893697 0.158310743 0.257856540
#>  [67] 0.207473938 0.712743298 0.728809424 0.744603484 0.935800682 0.853303563
#>  [73] 0.545797281 0.555612777 0.061161069 0.555612777 0.602530574 0.300559870
#>  [79] 0.671422583 0.799271270 0.475908197 0.363349893 0.868567260 0.696357825
#>  [85] 0.426172740 0.426172740 0.662967650 0.373927386 0.395043641 0.602530574
#>  [91] 0.957437390 0.768352014 0.087684763 0.170938094 0.830199572 0.964652053
#>  [97] 0.373927386 0.505565636 0.799271270 0.027708913 0.814687985 0.131094551
#> [103] 0.170938094 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    13   187   164   175    56    52    41    24    10   188    68    61    76 
#> 14.34  9.92 23.60 21.91 12.21 10.42 18.02 23.89 10.53 16.16 20.62 10.12 19.22 
#>   113    36   192    97 192.1   139    15    96  56.1  36.1    14  36.2    78 
#> 22.86 21.19 16.44 19.14 16.44 21.49 22.68 14.54 12.21 21.19 12.89 21.19 23.88 
#>    93  68.1  93.1   111    91   183    25    39  97.1    43    88    16    26 
#> 10.33 20.62 10.33 17.45  5.33  9.24  6.32 15.59 19.14 12.10 18.37  8.71 15.77 
#>  16.1   180   179   168   167   106     6  25.1    58  68.2    86  91.1 192.2 
#>  8.71 14.82 18.63 23.72 15.55 16.67 15.64  6.32 19.34 20.62 23.81  5.33 16.44 
#> 192.3    45   190    57 175.1    55   150 179.1     8   181  93.2  13.1    63 
#> 16.44 17.42 20.81 14.46 21.91 19.34 20.33 18.63 18.43 16.46 10.33 14.34 22.77 
#>    99 175.2  39.1 167.1 180.1  16.2  43.1    40   134  86.1 134.1   130 190.1 
#> 21.19 21.91 15.59 15.55 14.82  8.71 12.10 18.00 17.81 23.81 17.81 16.47 20.81 
#>    79    81 179.2   158   107   125  76.1  76.2     5   105  58.1 130.1   149 
#> 16.23 14.06 18.63 20.14 11.18 15.65 19.22 19.22 16.43 19.75 19.34 16.47  8.37 
#>  57.1 168.1  15.1   140    77 105.1   8.1  81.1  78.1   155    69  15.2    20 
#> 14.46 23.72 22.68 12.68  7.27 19.75 18.43 14.06 23.88 13.08 23.23 22.68 24.00 
#>   200   103    82    33  82.1    38     7   109  33.1  20.1   122   193    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.2    62  20.2   119    71    34    11   146  34.1  20.3    21 200.1   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138  33.3   152   148   131    67 109.1   151 193.1    19    87   137   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1 148.1   141  38.1    44 103.1   163   165   126   142 122.1   161   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1    74    64    54 146.1    98    75 121.1  19.1 142.1   196  71.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.4    31 119.1    84  84.1    46  84.2 141.1  44.1 152.1   116  75.1  75.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1  54.1    95    28 137.1    48   185  64.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[22]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02010454                0.43990041                0.02590773 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.479719401            -0.007635197            -0.547189945 
#>   grade_iii, Cure model 
#>             0.667037406 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 149    8.37      1  33        1         0
#> 105   19.75      1  60        0         0
#> 40    18.00      1  28        1         0
#> 168   23.72      1  70        0         0
#> 39    15.59      1  37        0         1
#> 117   17.46      1  26        0         1
#> 164   23.60      1  76        0         1
#> 81    14.06      1  34        0         0
#> 117.1 17.46      1  26        0         1
#> 26    15.77      1  49        0         1
#> 39.1  15.59      1  37        0         1
#> 89    11.44      1  NA        0         0
#> 13    14.34      1  54        0         1
#> 99    21.19      1  38        0         1
#> 114   13.68      1  NA        0         0
#> 93    10.33      1  52        0         1
#> 70     7.38      1  30        1         0
#> 70.1   7.38      1  30        1         0
#> 149.1  8.37      1  33        1         0
#> 61    10.12      1  36        0         1
#> 189   10.51      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 59    10.16      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 169   22.41      1  46        0         0
#> 181   16.46      1  45        0         1
#> 145   10.07      1  65        1         0
#> 68    20.62      1  44        0         0
#> 139   21.49      1  63        1         0
#> 89.1  11.44      1  NA        0         0
#> 125   15.65      1  67        1         0
#> 61.1  10.12      1  36        0         1
#> 136   21.83      1  43        0         1
#> 39.2  15.59      1  37        0         1
#> 181.1 16.46      1  45        0         1
#> 128   20.35      1  35        0         1
#> 32    20.90      1  37        1         0
#> 197   21.60      1  69        1         0
#> 8     18.43      1  32        0         0
#> 92    22.92      1  47        0         1
#> 10    10.53      1  34        0         0
#> 68.1  20.62      1  44        0         0
#> 127    3.53      1  62        0         1
#> 6     15.64      1  39        0         0
#> 197.1 21.60      1  69        1         0
#> 101    9.97      1  10        0         1
#> 130   16.47      1  53        0         1
#> 86    23.81      1  58        0         1
#> 180   14.82      1  37        0         0
#> 57    14.46      1  45        0         1
#> 93.1  10.33      1  52        0         1
#> 13.1  14.34      1  54        0         1
#> 6.1   15.64      1  39        0         0
#> 88    18.37      1  47        0         0
#> 189.1 10.51      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 8.1   18.43      1  32        0         0
#> 57.1  14.46      1  45        0         1
#> 50    10.02      1  NA        1         0
#> 164.1 23.60      1  76        0         1
#> 88.1  18.37      1  47        0         0
#> 180.1 14.82      1  37        0         0
#> 61.2  10.12      1  36        0         1
#> 177   12.53      1  75        0         0
#> 155   13.08      1  26        0         0
#> 140   12.68      1  59        1         0
#> 183    9.24      1  67        1         0
#> 70.2   7.38      1  30        1         0
#> 170   19.54      1  43        0         1
#> 180.2 14.82      1  37        0         0
#> 6.2   15.64      1  39        0         0
#> 189.2 10.51      1  NA        1         0
#> 93.2  10.33      1  52        0         1
#> 57.2  14.46      1  45        0         1
#> 187    9.92      1  39        1         0
#> 57.3  14.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 139.1 21.49      1  63        1         0
#> 13.2  14.34      1  54        0         1
#> 63    22.77      1  31        1         0
#> 150   20.33      1  48        0         0
#> 166   19.98      1  48        0         0
#> 155.1 13.08      1  26        0         0
#> 24    23.89      1  38        0         0
#> 29    15.45      1  68        1         0
#> 175   21.91      1  43        0         0
#> 5     16.43      1  51        0         1
#> 32.1  20.90      1  37        1         0
#> 92.1  22.92      1  47        0         1
#> 127.1  3.53      1  62        0         1
#> 158   20.14      1  74        1         0
#> 92.2  22.92      1  47        0         1
#> 110   17.56      1  65        0         1
#> 4.1   17.64      1  NA        0         1
#> 92.3  22.92      1  47        0         1
#> 50.1  10.02      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 125.1 15.65      1  67        1         0
#> 157   15.10      1  47        0         0
#> 81.1  14.06      1  34        0         0
#> 105.1 19.75      1  60        0         0
#> 23    16.92      1  61        0         0
#> 15    22.68      1  48        0         0
#> 100   16.07      1  60        0         0
#> 184.1 17.77      1  38        0         0
#> 180.3 14.82      1  37        0         0
#> 136.1 21.83      1  43        0         1
#> 92.4  22.92      1  47        0         1
#> 26.1  15.77      1  49        0         1
#> 6.3   15.64      1  39        0         0
#> 140.1 12.68      1  59        1         0
#> 192   16.44      1  31        1         0
#> 65    24.00      0  57        1         0
#> 121   24.00      0  57        1         0
#> 12    24.00      0  63        0         0
#> 174   24.00      0  49        1         0
#> 161   24.00      0  45        0         0
#> 74    24.00      0  43        0         1
#> 120   24.00      0  68        0         1
#> 80    24.00      0  41        0         0
#> 148   24.00      0  61        1         0
#> 98    24.00      0  34        1         0
#> 132   24.00      0  55        0         0
#> 53    24.00      0  32        0         1
#> 17    24.00      0  38        0         1
#> 94    24.00      0  51        0         1
#> 186   24.00      0  45        1         0
#> 38    24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 131   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 72    24.00      0  40        0         1
#> 174.1 24.00      0  49        1         0
#> 174.2 24.00      0  49        1         0
#> 11    24.00      0  42        0         1
#> 3     24.00      0  31        1         0
#> 148.1 24.00      0  61        1         0
#> 22    24.00      0  52        1         0
#> 19.1  24.00      0  57        0         1
#> 95    24.00      0  68        0         1
#> 65.1  24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 143   24.00      0  51        0         0
#> 12.1  24.00      0  63        0         0
#> 98.1  24.00      0  34        1         0
#> 46    24.00      0  71        0         0
#> 46.1  24.00      0  71        0         0
#> 174.3 24.00      0  49        1         0
#> 94.1  24.00      0  51        0         1
#> 38.1  24.00      0  31        1         0
#> 65.2  24.00      0  57        1         0
#> 33    24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 104   24.00      0  50        1         0
#> 143.1 24.00      0  51        0         0
#> 94.2  24.00      0  51        0         1
#> 84    24.00      0  39        0         1
#> 135.1 24.00      0  58        1         0
#> 160   24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 163   24.00      0  66        0         0
#> 33.1  24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 162   24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 80.1  24.00      0  41        0         0
#> 11.1  24.00      0  42        0         1
#> 74.1  24.00      0  43        0         1
#> 65.3  24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 152   24.00      0  36        0         1
#> 138   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 12.2  24.00      0  63        0         0
#> 135.2 24.00      0  58        1         0
#> 3.1   24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 44.1  24.00      0  56        0         0
#> 132.1 24.00      0  55        0         0
#> 174.4 24.00      0  49        1         0
#> 173   24.00      0  19        0         1
#> 11.2  24.00      0  42        0         1
#> 64    24.00      0  43        0         0
#> 2     24.00      0   9        0         0
#> 62    24.00      0  71        0         0
#> 196   24.00      0  19        0         0
#> 21    24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 1     24.00      0  23        1         0
#> 17.1  24.00      0  38        0         1
#> 186.1 24.00      0  45        1         0
#> 34    24.00      0  36        0         0
#> 46.2  24.00      0  71        0         0
#> 162.1 24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 137.1 24.00      0  45        1         0
#> 135.3 24.00      0  58        1         0
#> 156   24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.480          NA        NA      NA
#> 2 age, Cure model         -0.00764        NA        NA      NA
#> 3 grade_ii, Cure model    -0.547          NA        NA      NA
#> 4 grade_iii, Cure model    0.667          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0201        NA        NA      NA
#> 2 grade_ii, Survival model    0.440         NA        NA      NA
#> 3 grade_iii, Survival model   0.0259        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.479719         -0.007635         -0.547190          0.667037  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 248.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.479719401     -0.007635197     -0.547189945      0.667037406 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02010454       0.43990041       0.02590773 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 8.578022e-01 6.613026e-02 1.072374e-01 1.145374e-04 3.043026e-01
#>   [6] 1.351199e-01 3.022991e-04 5.334599e-01 1.351199e-01 2.200284e-01
#>  [11] 3.043026e-01 4.874612e-01 2.625599e-02 6.673210e-01 8.979865e-01
#>  [16] 8.979865e-01 8.578022e-01 7.218094e-01 3.521306e-01 2.625599e-02
#>  [21] 7.733991e-03 1.664002e-01 7.784466e-01 3.988464e-02 2.045893e-02
#>  [26] 2.398321e-01 7.218094e-01 1.129347e-02 3.043026e-01 1.664002e-01
#>  [31] 4.769202e-02 3.288351e-02 1.546191e-02 8.252240e-02 1.172245e-03
#>  [36] 6.495926e-01 3.988464e-02 9.581863e-01 2.606619e-01 1.546191e-02
#>  [41] 7.980862e-01 1.581335e-01 3.207122e-05 3.777555e-01 4.305662e-01
#>  [46] 6.673210e-01 4.874612e-01 2.606619e-01 9.438574e-02 1.834918e-01
#>  [51] 8.252240e-02 4.305662e-01 3.022991e-04 9.438574e-02 3.777555e-01
#>  [56] 7.218094e-01 6.321006e-01 5.655106e-01 5.983184e-01 8.376606e-01
#>  [61] 8.979865e-01 7.676960e-02 3.777555e-01 2.606619e-01 6.673210e-01
#>  [66] 4.305662e-01 8.178037e-01 4.305662e-01 2.045893e-02 4.874612e-01
#>  [71] 4.951620e-03 5.194937e-02 6.116340e-02 5.655106e-01 3.747808e-06
#>  [76] 3.396445e-01 9.416475e-03 2.011454e-01 3.288351e-02 1.172245e-03
#>  [81] 9.581863e-01 5.643433e-02 1.172245e-03 1.277224e-01 1.172245e-03
#>  [86] 1.139162e-01 2.398321e-01 3.648055e-01 5.334599e-01 6.613026e-02
#>  [91] 1.501371e-01 6.247128e-03 2.104385e-01 1.139162e-01 3.777555e-01
#>  [96] 1.129347e-02 1.172245e-03 2.200284e-01 2.606619e-01 5.983184e-01
#> [101] 1.834918e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   149   105    40   168    39   117   164    81 117.1    26  39.1    13    99 
#>  8.37 19.75 18.00 23.72 15.59 17.46 23.60 14.06 17.46 15.77 15.59 14.34 21.19 
#>    93    70  70.1 149.1    61    18    36   169   181   145    68   139   125 
#> 10.33  7.38  7.38  8.37 10.12 15.21 21.19 22.41 16.46 10.07 20.62 21.49 15.65 
#>  61.1   136  39.2 181.1   128    32   197     8    92    10  68.1   127     6 
#> 10.12 21.83 15.59 16.46 20.35 20.90 21.60 18.43 22.92 10.53 20.62  3.53 15.64 
#> 197.1   101   130    86   180    57  93.1  13.1   6.1    88    85   8.1  57.1 
#> 21.60  9.97 16.47 23.81 14.82 14.46 10.33 14.34 15.64 18.37 16.44 18.43 14.46 
#> 164.1  88.1 180.1  61.2   177   155   140   183  70.2   170 180.2   6.2  93.2 
#> 23.60 18.37 14.82 10.12 12.53 13.08 12.68  9.24  7.38 19.54 14.82 15.64 10.33 
#>  57.2   187  57.3 139.1  13.2    63   150   166 155.1    24    29   175     5 
#> 14.46  9.92 14.46 21.49 14.34 22.77 20.33 19.98 13.08 23.89 15.45 21.91 16.43 
#>  32.1  92.1 127.1   158  92.2   110  92.3   184 125.1   157  81.1 105.1    23 
#> 20.90 22.92  3.53 20.14 22.92 17.56 22.92 17.77 15.65 15.10 14.06 19.75 16.92 
#>    15   100 184.1 180.3 136.1  92.4  26.1   6.3 140.1   192    65   121    12 
#> 22.68 16.07 17.77 14.82 21.83 22.92 15.77 15.64 12.68 16.44 24.00 24.00 24.00 
#>   174   161    74   120    80   148    98   132    53    17    94   186    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44   131    19    72 174.1 174.2    11     3 148.1    22  19.1    95  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   143  12.1  98.1    46  46.1 174.3  94.1  38.1  65.2    33   178   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.1  94.2    84 135.1   160    82   163  33.1   137   162   141  80.1  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1  65.3   118    48   152   138   165  12.2 135.2   3.1    54  44.1 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.4   173  11.2    64     2    62   196    21   172     1  17.1 186.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.2 162.1   182 137.1 135.3   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[23]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002076225               0.907714763               0.600265363 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.197255837            -0.005742178            -0.126001433 
#>   grade_iii, Cure model 
#>             0.810620876 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 4     17.64      1  NA        0         1
#> 197   21.60      1  69        1         0
#> 60    13.15      1  38        1         0
#> 113   22.86      1  34        0         0
#> 145   10.07      1  65        1         0
#> 130   16.47      1  53        0         1
#> 60.1  13.15      1  38        1         0
#> 6     15.64      1  39        0         0
#> 40    18.00      1  28        1         0
#> 25     6.32      1  34        1         0
#> 139   21.49      1  63        1         0
#> 199   19.81      1  NA        0         1
#> 179   18.63      1  42        0         0
#> 181   16.46      1  45        0         1
#> 128   20.35      1  35        0         1
#> 199.1 19.81      1  NA        0         1
#> 66    22.13      1  53        0         0
#> 24    23.89      1  38        0         0
#> 13    14.34      1  54        0         1
#> 42    12.43      1  49        0         1
#> 59    10.16      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 166   19.98      1  48        0         0
#> 90    20.94      1  50        0         1
#> 140   12.68      1  59        1         0
#> 91     5.33      1  61        0         1
#> 69    23.23      1  25        0         1
#> 70     7.38      1  30        1         0
#> 187    9.92      1  39        1         0
#> 154   12.63      1  20        1         0
#> 70.1   7.38      1  30        1         0
#> 89    11.44      1  NA        0         0
#> 25.1   6.32      1  34        1         0
#> 190   20.81      1  42        1         0
#> 63    22.77      1  31        1         0
#> 76    19.22      1  54        0         1
#> 69.1  23.23      1  25        0         1
#> 85    16.44      1  36        0         0
#> 6.1   15.64      1  39        0         0
#> 45    17.42      1  54        0         1
#> 42.1  12.43      1  49        0         1
#> 149    8.37      1  33        1         0
#> 15    22.68      1  48        0         0
#> 184   17.77      1  38        0         0
#> 105   19.75      1  60        0         0
#> 164   23.60      1  76        0         1
#> 16     8.71      1  71        0         1
#> 76.1  19.22      1  54        0         1
#> 168   23.72      1  70        0         0
#> 199.2 19.81      1  NA        0         1
#> 188   16.16      1  46        0         1
#> 26    15.77      1  49        0         1
#> 166.1 19.98      1  48        0         0
#> 107   11.18      1  54        1         0
#> 5     16.43      1  51        0         1
#> 150   20.33      1  48        0         0
#> 133   14.65      1  57        0         0
#> 188.1 16.16      1  46        0         1
#> 133.1 14.65      1  57        0         0
#> 184.1 17.77      1  38        0         0
#> 179.1 18.63      1  42        0         0
#> 96    14.54      1  33        0         1
#> 59.1  10.16      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 70.2   7.38      1  30        1         0
#> 79    16.23      1  54        1         0
#> 13.1  14.34      1  54        0         1
#> 124    9.73      1  NA        1         0
#> 179.2 18.63      1  42        0         0
#> 130.1 16.47      1  53        0         1
#> 77     7.27      1  67        0         1
#> 24.1  23.89      1  38        0         0
#> 167   15.55      1  56        1         0
#> 29    15.45      1  68        1         0
#> 70.3   7.38      1  30        1         0
#> 51    18.23      1  83        0         1
#> 55    19.34      1  69        0         1
#> 99    21.19      1  38        0         1
#> 133.2 14.65      1  57        0         0
#> 40.1  18.00      1  28        1         0
#> 183    9.24      1  67        1         0
#> 192   16.44      1  31        1         0
#> 133.3 14.65      1  57        0         0
#> 26.1  15.77      1  49        0         1
#> 124.1  9.73      1  NA        1         0
#> 113.1 22.86      1  34        0         0
#> 190.1 20.81      1  42        1         0
#> 127    3.53      1  62        0         1
#> 177   12.53      1  75        0         0
#> 42.2  12.43      1  49        0         1
#> 59.2  10.16      1  NA        1         0
#> 24.2  23.89      1  38        0         0
#> 96.1  14.54      1  33        0         1
#> 195.1 11.76      1  NA        1         0
#> 140.1 12.68      1  59        1         0
#> 81    14.06      1  34        0         0
#> 36    21.19      1  48        0         1
#> 117   17.46      1  26        0         1
#> 114   13.68      1  NA        0         0
#> 150.1 20.33      1  48        0         0
#> 43    12.10      1  61        0         1
#> 13.2  14.34      1  54        0         1
#> 13.3  14.34      1  54        0         1
#> 37    12.52      1  57        1         0
#> 13.4  14.34      1  54        0         1
#> 96.2  14.54      1  33        0         1
#> 55.1  19.34      1  69        0         1
#> 158   20.14      1  74        1         0
#> 77.1   7.27      1  67        0         1
#> 155   13.08      1  26        0         0
#> 29.1  15.45      1  68        1         0
#> 1     24.00      0  23        1         0
#> 156   24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 46    24.00      0  71        0         0
#> 147   24.00      0  76        1         0
#> 147.1 24.00      0  76        1         0
#> 38    24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 182   24.00      0  35        0         0
#> 137   24.00      0  45        1         0
#> 186   24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 35    24.00      0  51        0         0
#> 71    24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 71.1  24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 116   24.00      0  58        0         1
#> 82    24.00      0  34        0         0
#> 104   24.00      0  50        1         0
#> 38.1  24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 27    24.00      0  63        1         0
#> 112   24.00      0  61        0         0
#> 95    24.00      0  68        0         1
#> 48    24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 162   24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 191   24.00      0  60        0         1
#> 54    24.00      0  53        1         0
#> 27.1  24.00      0  63        1         0
#> 103   24.00      0  56        1         0
#> 22.1  24.00      0  52        1         0
#> 95.1  24.00      0  68        0         1
#> 22.2  24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 21    24.00      0  47        0         0
#> 3     24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 21.1  24.00      0  47        0         0
#> 186.1 24.00      0  45        1         0
#> 17    24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 121   24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 172   24.00      0  41        0         0
#> 182.1 24.00      0  35        0         0
#> 34    24.00      0  36        0         0
#> 2     24.00      0   9        0         0
#> 163.1 24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 7     24.00      0  37        1         0
#> 83    24.00      0   6        0         0
#> 11    24.00      0  42        0         1
#> 173   24.00      0  19        0         1
#> 98    24.00      0  34        1         0
#> 186.2 24.00      0  45        1         0
#> 112.1 24.00      0  61        0         0
#> 135.2 24.00      0  58        1         0
#> 71.2  24.00      0  51        0         0
#> 162.1 24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 165   24.00      0  47        0         0
#> 27.2  24.00      0  63        1         0
#> 47.1  24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 116.1 24.00      0  58        0         1
#> 19    24.00      0  57        0         1
#> 53    24.00      0  32        0         1
#> 72    24.00      0  40        0         1
#> 28    24.00      0  67        1         0
#> 64    24.00      0  43        0         0
#> 121.1 24.00      0  57        1         0
#> 46.1  24.00      0  71        0         0
#> 173.1 24.00      0  19        0         1
#> 74.1  24.00      0  43        0         1
#> 38.2  24.00      0  31        1         0
#> 148.1 24.00      0  61        1         0
#> 161   24.00      0  45        0         0
#> 119   24.00      0  17        0         0
#> 151   24.00      0  42        0         0
#> 120.1 24.00      0  68        0         1
#> 112.2 24.00      0  61        0         0
#> 33    24.00      0  53        0         0
#> 1.1   24.00      0  23        1         0
#> 186.3 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.197          NA        NA      NA
#> 2 age, Cure model         -0.00574        NA        NA      NA
#> 3 grade_ii, Cure model    -0.126          NA        NA      NA
#> 4 grade_iii, Cure model    0.811          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00208        NA        NA      NA
#> 2 grade_ii, Survival model   0.908          NA        NA      NA
#> 3 grade_iii, Survival model  0.600          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.197256         -0.005742         -0.126001          0.810621  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.6 
#> Residual Deviance: 251.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.197255837     -0.005742178     -0.126001433      0.810620876 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002076225      0.907714763      0.600265363 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.31638806 0.83464634 0.22415689 0.91980318 0.62586343 0.83464634
#>   [7] 0.71216792 0.57368027 0.97947263 0.33240639 0.52613366 0.64238524
#>  [13] 0.40993171 0.29870471 0.05016664 0.79604714 0.89053764 0.56439880
#>  [19] 0.45451383 0.37376010 0.85998285 0.98976557 0.18485989 0.94791068
#>  [25] 0.92553567 0.87229626 0.94791068 0.97947263 0.38683632 0.26297485
#>  [31] 0.50671271 0.18485989 0.65059359 0.71216792 0.61731218 0.89053764
#>  [37] 0.94239178 0.28089910 0.59117937 0.47576949 0.15863706 0.93681888
#>  [43] 0.50671271 0.12640434 0.68226932 0.69738167 0.45451383 0.91400431
#>  [49] 0.66656222 0.42133404 0.74820009 0.68226932 0.74820009 0.59117937
#>  [55] 0.52613366 0.77578313 0.85363973 0.94791068 0.67449681 0.79604714
#>  [61] 0.52613366 0.62586343 0.96899695 0.05016664 0.72692833 0.73421374
#>  [67] 0.94791068 0.55485148 0.48648663 0.34713017 0.74820009 0.57368027
#>  [73] 0.93120887 0.65059359 0.74820009 0.69738167 0.22415689 0.38683632
#>  [79] 0.99489691 0.87840631 0.89053764 0.05016664 0.77578313 0.85998285
#>  [85] 0.82813142 0.34713017 0.60863609 0.42133404 0.90813947 0.79604714
#>  [91] 0.79604714 0.88450921 0.79604714 0.77578313 0.48648663 0.44370525
#>  [97] 0.96899695 0.84729451 0.73421374 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   197    60   113   145   130  60.1     6    40    25   139   179   181   128 
#> 21.60 13.15 22.86 10.07 16.47 13.15 15.64 18.00  6.32 21.49 18.63 16.46 20.35 
#>    66    24    13    42    41   166    90   140    91    69    70   187   154 
#> 22.13 23.89 14.34 12.43 18.02 19.98 20.94 12.68  5.33 23.23  7.38  9.92 12.63 
#>  70.1  25.1   190    63    76  69.1    85   6.1    45  42.1   149    15   184 
#>  7.38  6.32 20.81 22.77 19.22 23.23 16.44 15.64 17.42 12.43  8.37 22.68 17.77 
#>   105   164    16  76.1   168   188    26 166.1   107     5   150   133 188.1 
#> 19.75 23.60  8.71 19.22 23.72 16.16 15.77 19.98 11.18 16.43 20.33 14.65 16.16 
#> 133.1 184.1 179.1    96    14  70.2    79  13.1 179.2 130.1    77  24.1   167 
#> 14.65 17.77 18.63 14.54 12.89  7.38 16.23 14.34 18.63 16.47  7.27 23.89 15.55 
#>    29  70.3    51    55    99 133.2  40.1   183   192 133.3  26.1 113.1 190.1 
#> 15.45  7.38 18.23 19.34 21.19 14.65 18.00  9.24 16.44 14.65 15.77 22.86 20.81 
#>   127   177  42.2  24.2  96.1 140.1    81    36   117 150.1    43  13.2  13.3 
#>  3.53 12.53 12.43 23.89 14.54 12.68 14.06 21.19 17.46 20.33 12.10 14.34 14.34 
#>    37  13.4  96.2  55.1   158  77.1   155  29.1     1   156   135    46   147 
#> 12.52 14.34 14.54 19.34 20.14  7.27 13.08 15.45 24.00 24.00 24.00 24.00 24.00 
#> 147.1    38   146   182   137   186   163    47    35    71   122  71.1    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116    82   104  38.1    65    27   112    95    48    67   162    22   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54  27.1   103  22.1  95.1  22.2   193    21     3 135.1  21.1 186.1    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   121   148   172 182.1    34     2 163.1   120     7    83    11   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98 186.2 112.1 135.2  71.2 162.1   178   165  27.2  47.1   138 116.1    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53    72    28    64 121.1  46.1 173.1  74.1  38.2 148.1   161   119   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1 112.2    33   1.1 186.3 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[24]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0005747655              0.7754530877              0.5288412721 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.79701491              0.02847571              0.73676004 
#>   grade_iii, Cure model 
#>              1.18809428 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 150   20.33      1  48        0         0
#> 18    15.21      1  49        1         0
#> 188   16.16      1  46        0         1
#> 192   16.44      1  31        1         0
#> 43    12.10      1  61        0         1
#> 139   21.49      1  63        1         0
#> 190   20.81      1  42        1         0
#> 43.1  12.10      1  61        0         1
#> 60    13.15      1  38        1         0
#> 8     18.43      1  32        0         0
#> 125   15.65      1  67        1         0
#> 55    19.34      1  69        0         1
#> 105   19.75      1  60        0         0
#> 164   23.60      1  76        0         1
#> 24    23.89      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 24.2  23.89      1  38        0         0
#> 155   13.08      1  26        0         0
#> 199   19.81      1  NA        0         1
#> 60.1  13.15      1  38        1         0
#> 153   21.33      1  55        1         0
#> 194   22.40      1  38        0         1
#> 18.1  15.21      1  49        1         0
#> 100   16.07      1  60        0         0
#> 60.2  13.15      1  38        1         0
#> 51    18.23      1  83        0         1
#> 52    10.42      1  52        0         1
#> 26    15.77      1  49        0         1
#> 170   19.54      1  43        0         1
#> 111   17.45      1  47        0         1
#> 168   23.72      1  70        0         0
#> 52.1  10.42      1  52        0         1
#> 199.1 19.81      1  NA        0         1
#> 158   20.14      1  74        1         0
#> 105.1 19.75      1  60        0         0
#> 51.1  18.23      1  83        0         1
#> 5     16.43      1  51        0         1
#> 158.1 20.14      1  74        1         0
#> 96    14.54      1  33        0         1
#> 41    18.02      1  40        1         0
#> 79    16.23      1  54        1         0
#> 69    23.23      1  25        0         1
#> 139.1 21.49      1  63        1         0
#> 159   10.55      1  50        0         1
#> 192.1 16.44      1  31        1         0
#> 49    12.19      1  48        1         0
#> 89    11.44      1  NA        0         0
#> 91     5.33      1  61        0         1
#> 105.2 19.75      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 150.1 20.33      1  48        0         0
#> 30    17.43      1  78        0         0
#> 97    19.14      1  65        0         1
#> 183    9.24      1  67        1         0
#> 105.3 19.75      1  60        0         0
#> 99    21.19      1  38        0         1
#> 199.2 19.81      1  NA        0         1
#> 113   22.86      1  34        0         0
#> 134   17.81      1  47        1         0
#> 106   16.67      1  49        1         0
#> 43.2  12.10      1  61        0         1
#> 114   13.68      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 159.1 10.55      1  50        0         1
#> 29    15.45      1  68        1         0
#> 77     7.27      1  67        0         1
#> 180   14.82      1  37        0         0
#> 177   12.53      1  75        0         0
#> 69.1  23.23      1  25        0         1
#> 49.1  12.19      1  48        1         0
#> 4     17.64      1  NA        0         1
#> 86    23.81      1  58        0         1
#> 107   11.18      1  54        1         0
#> 92    22.92      1  47        0         1
#> 51.2  18.23      1  83        0         1
#> 167   15.55      1  56        1         0
#> 154   12.63      1  20        1         0
#> 139.2 21.49      1  63        1         0
#> 25     6.32      1  34        1         0
#> 77.1   7.27      1  67        0         1
#> 108   18.29      1  39        0         1
#> 154.1 12.63      1  20        1         0
#> 59.1  10.16      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 59.2  10.16      1  NA        1         0
#> 51.3  18.23      1  83        0         1
#> 195   11.76      1  NA        1         0
#> 100.1 16.07      1  60        0         0
#> 183.1  9.24      1  67        1         0
#> 25.1   6.32      1  34        1         0
#> 88    18.37      1  47        0         0
#> 39    15.59      1  37        0         1
#> 99.1  21.19      1  38        0         1
#> 177.1 12.53      1  75        0         0
#> 79.1  16.23      1  54        1         0
#> 170.1 19.54      1  43        0         1
#> 57    14.46      1  45        0         1
#> 43.3  12.10      1  61        0         1
#> 13    14.34      1  54        0         1
#> 8.1   18.43      1  32        0         0
#> 123   13.00      1  44        1         0
#> 100.2 16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 140   12.68      1  59        1         0
#> 60.3  13.15      1  38        1         0
#> 45    17.42      1  54        0         1
#> 85    16.44      1  36        0         0
#> 169   22.41      1  46        0         0
#> 70     7.38      1  30        1         0
#> 149    8.37      1  33        1         0
#> 117   17.46      1  26        0         1
#> 129   23.41      1  53        1         0
#> 178   24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 174   24.00      0  49        1         0
#> 27    24.00      0  63        1         0
#> 135   24.00      0  58        1         0
#> 142   24.00      0  53        0         0
#> 165   24.00      0  47        0         0
#> 83    24.00      0   6        0         0
#> 162   24.00      0  51        0         0
#> 165.1 24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 84.1  24.00      0  39        0         1
#> 98    24.00      0  34        1         0
#> 53    24.00      0  32        0         1
#> 112   24.00      0  61        0         0
#> 142.1 24.00      0  53        0         0
#> 94    24.00      0  51        0         1
#> 148   24.00      0  61        1         0
#> 121.1 24.00      0  57        1         0
#> 80    24.00      0  41        0         0
#> 172   24.00      0  41        0         0
#> 200   24.00      0  64        0         0
#> 102   24.00      0  49        0         0
#> 119   24.00      0  17        0         0
#> 53.1  24.00      0  32        0         1
#> 104   24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 112.1 24.00      0  61        0         0
#> 142.2 24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 87    24.00      0  27        0         0
#> 185   24.00      0  44        1         0
#> 178.1 24.00      0  52        1         0
#> 173   24.00      0  19        0         1
#> 182.1 24.00      0  35        0         0
#> 46    24.00      0  71        0         0
#> 21    24.00      0  47        0         0
#> 104.1 24.00      0  50        1         0
#> 46.1  24.00      0  71        0         0
#> 138   24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 33    24.00      0  53        0         0
#> 67    24.00      0  25        0         0
#> 35.1  24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 7     24.00      0  37        1         0
#> 53.2  24.00      0  32        0         1
#> 35.2  24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 64    24.00      0  43        0         0
#> 160   24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 31    24.00      0  36        0         1
#> 73    24.00      0  NA        0         1
#> 2     24.00      0   9        0         0
#> 135.1 24.00      0  58        1         0
#> 62    24.00      0  71        0         0
#> 84.2  24.00      0  39        0         1
#> 54    24.00      0  53        1         0
#> 173.1 24.00      0  19        0         1
#> 200.1 24.00      0  64        0         0
#> 67.1  24.00      0  25        0         0
#> 186   24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 73.1  24.00      0  NA        0         1
#> 135.2 24.00      0  58        1         0
#> 138.1 24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 142.3 24.00      0  53        0         0
#> 9     24.00      0  31        1         0
#> 182.2 24.00      0  35        0         0
#> 191   24.00      0  60        0         1
#> 53.3  24.00      0  32        0         1
#> 3     24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 118   24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 47    24.00      0  38        0         1
#> 64.1  24.00      0  43        0         0
#> 48    24.00      0  31        1         0
#> 83.1  24.00      0   6        0         0
#> 119.1 24.00      0  17        0         0
#> 193   24.00      0  45        0         1
#> 198   24.00      0  66        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.80          NA        NA      NA
#> 2 age, Cure model           0.0285        NA        NA      NA
#> 3 grade_ii, Cure model      0.737         NA        NA      NA
#> 4 grade_iii, Cure model     1.19          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000575        NA        NA      NA
#> 2 grade_ii, Survival model  0.775           NA        NA      NA
#> 3 grade_iii, Survival model 0.529           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.79701           0.02848           0.73676           1.18809  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 241.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.79701491       0.02847571       0.73676004       1.18809428 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0005747655     0.7754530877     0.5288412721 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.40568986 0.77156455 0.70573883 0.65989866 0.89541009 0.30126441
#>   [7] 0.39515034 0.89541009 0.81281173 0.53108196 0.74274341 0.50311460
#>  [13] 0.44603474 0.16164478 0.04163627 0.04163627 0.04163627 0.83862152
#>  [19] 0.81281173 0.33872741 0.28569127 0.77156455 0.71320459 0.81281173
#>  [25] 0.56787664 0.93723266 0.73534415 0.48420175 0.62722088 0.13629270
#>  [31] 0.93723266 0.42646553 0.44603474 0.56787664 0.68303463 0.42646553
#>  [37] 0.79229008 0.60193856 0.69076935 0.20390797 0.30126441 0.92538088
#>  [43] 0.65989866 0.88309327 0.99443839 0.44603474 0.40568986 0.63546421
#>  [49] 0.51252490 0.94897332 0.44603474 0.36201614 0.25322100 0.61048987
#>  [55] 0.65186270 0.89541009 0.38425498 0.92538088 0.76447764 0.97200465
#>  [61] 0.78536207 0.87056105 0.20390797 0.88309327 0.11076019 0.91937833
#>  [67] 0.23695268 0.56787664 0.75730709 0.85802088 0.30126441 0.98329921
#>  [73] 0.97200465 0.55872472 0.85802088 0.33872741 0.56787664 0.71320459
#>  [79] 0.94897332 0.98329921 0.54946121 0.75005117 0.36201614 0.87056105
#>  [85] 0.69076935 0.48420175 0.79917419 0.89541009 0.80601460 0.53108196
#>  [91] 0.84514904 0.71320459 0.52180545 0.85161527 0.81281173 0.64370264
#>  [97] 0.65989866 0.26946909 0.96629001 0.96053422 0.61889622 0.18426689
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>   150    18   188   192    43   139   190  43.1    60     8   125    55   105 
#> 20.33 15.21 16.16 16.44 12.10 21.49 20.81 12.10 13.15 18.43 15.65 19.34 19.75 
#>   164    24  24.1  24.2   155  60.1   153   194  18.1   100  60.2    51    52 
#> 23.60 23.89 23.89 23.89 13.08 13.15 21.33 22.40 15.21 16.07 13.15 18.23 10.42 
#>    26   170   111   168  52.1   158 105.1  51.1     5 158.1    96    41    79 
#> 15.77 19.54 17.45 23.72 10.42 20.14 19.75 18.23 16.43 20.14 14.54 18.02 16.23 
#>    69 139.1   159 192.1    49    91 105.2 150.1    30    97   183 105.3    99 
#> 23.23 21.49 10.55 16.44 12.19  5.33 19.75 20.33 17.43 19.14  9.24 19.75 21.19 
#>   113   134   106  43.2    32 159.1    29    77   180   177  69.1  49.1    86 
#> 22.86 17.81 16.67 12.10 20.90 10.55 15.45  7.27 14.82 12.53 23.23 12.19 23.81 
#>   107    92  51.2   167   154 139.2    25  77.1   108 154.1 153.1  51.3 100.1 
#> 11.18 22.92 18.23 15.55 12.63 21.49  6.32  7.27 18.29 12.63 21.33 18.23 16.07 
#> 183.1  25.1    88    39  99.1 177.1  79.1 170.1    57  43.3    13   8.1   123 
#>  9.24  6.32 18.37 15.59 21.19 12.53 16.23 19.54 14.46 12.10 14.34 18.43 13.00 
#> 100.2   179   140  60.3    45    85   169    70   149   117   129   178   121 
#> 16.07 18.63 12.68 13.15 17.42 16.44 22.41  7.38  8.37 17.46 23.41 24.00 24.00 
#>   174    27   135   142   165    83   162 165.1    84  84.1    98    53   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1    94   148 121.1    80   172   200   102   119  53.1   104   146    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126 112.1 142.2   182    87   185 178.1   173 182.1    46    21 104.1  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138    12    33    67  35.1   116     7  53.2  35.2    72    64   160   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65    31     2 135.1    62  84.2    54 173.1 200.1  67.1   186    74 135.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1     1 142.3     9 182.2   191  53.3     3 172.1   151   118   103    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1    48  83.1 119.1   193   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[25]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006559914               0.693887327               0.801939845 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.4074720590           -0.0002224208            0.7927685247 
#>   grade_iii, Cure model 
#>            1.0894363233 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 52    10.42      1  52        0         1
#> 8     18.43      1  32        0         0
#> 60    13.15      1  38        1         0
#> 63    22.77      1  31        1         0
#> 14    12.89      1  21        0         0
#> 29    15.45      1  68        1         0
#> 154   12.63      1  20        1         0
#> 188   16.16      1  46        0         1
#> 158   20.14      1  74        1         0
#> 125   15.65      1  67        1         0
#> 42    12.43      1  49        0         1
#> 105   19.75      1  60        0         0
#> 188.1 16.16      1  46        0         1
#> 18    15.21      1  49        1         0
#> 23    16.92      1  61        0         0
#> 175   21.91      1  43        0         0
#> 36    21.19      1  48        0         1
#> 129   23.41      1  53        1         0
#> 5     16.43      1  51        0         1
#> 51    18.23      1  83        0         1
#> 41    18.02      1  40        1         0
#> 68    20.62      1  44        0         0
#> 101    9.97      1  10        0         1
#> 66    22.13      1  53        0         0
#> 79    16.23      1  54        1         0
#> 124    9.73      1  NA        1         0
#> 175.1 21.91      1  43        0         0
#> 26    15.77      1  49        0         1
#> 124.1  9.73      1  NA        1         0
#> 50    10.02      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 60.1  13.15      1  38        1         0
#> 130   16.47      1  53        0         1
#> 114   13.68      1  NA        0         0
#> 127    3.53      1  62        0         1
#> 85    16.44      1  36        0         0
#> 40    18.00      1  28        1         0
#> 130.1 16.47      1  53        0         1
#> 140   12.68      1  59        1         0
#> 188.2 16.16      1  46        0         1
#> 166   19.98      1  48        0         0
#> 171   16.57      1  41        0         1
#> 8.1   18.43      1  32        0         0
#> 125.1 15.65      1  67        1         0
#> 66.1  22.13      1  53        0         0
#> 188.3 16.16      1  46        0         1
#> 8.2   18.43      1  32        0         0
#> 117   17.46      1  26        0         1
#> 52.1  10.42      1  52        0         1
#> 100   16.07      1  60        0         0
#> 170   19.54      1  43        0         1
#> 79.1  16.23      1  54        1         0
#> 190   20.81      1  42        1         0
#> 4     17.64      1  NA        0         1
#> 110   17.56      1  65        0         1
#> 55    19.34      1  69        0         1
#> 99    21.19      1  38        0         1
#> 39    15.59      1  37        0         1
#> 40.1  18.00      1  28        1         0
#> 52.2  10.42      1  52        0         1
#> 15    22.68      1  48        0         0
#> 56    12.21      1  60        0         0
#> 197   21.60      1  69        1         0
#> 91     5.33      1  61        0         1
#> 16     8.71      1  71        0         1
#> 69    23.23      1  25        0         1
#> 136.1 21.83      1  43        0         1
#> 99.1  21.19      1  38        0         1
#> 125.2 15.65      1  67        1         0
#> 96    14.54      1  33        0         1
#> 77     7.27      1  67        0         1
#> 29.1  15.45      1  68        1         0
#> 43    12.10      1  61        0         1
#> 170.1 19.54      1  43        0         1
#> 90    20.94      1  50        0         1
#> 189   10.51      1  NA        1         0
#> 77.1   7.27      1  67        0         1
#> 187    9.92      1  39        1         0
#> 14.1  12.89      1  21        0         0
#> 188.4 16.16      1  46        0         1
#> 92    22.92      1  47        0         1
#> 105.1 19.75      1  60        0         0
#> 134   17.81      1  47        1         0
#> 199   19.81      1  NA        0         1
#> 175.2 21.91      1  43        0         0
#> 175.3 21.91      1  43        0         0
#> 25     6.32      1  34        1         0
#> 60.2  13.15      1  38        1         0
#> 25.1   6.32      1  34        1         0
#> 81    14.06      1  34        0         0
#> 25.2   6.32      1  34        1         0
#> 49    12.19      1  48        1         0
#> 32    20.90      1  37        1         0
#> 168   23.72      1  70        0         0
#> 63.1  22.77      1  31        1         0
#> 117.1 17.46      1  26        0         1
#> 8.3   18.43      1  32        0         0
#> 77.2   7.27      1  67        0         1
#> 4.1   17.64      1  NA        0         1
#> 29.2  15.45      1  68        1         0
#> 51.1  18.23      1  83        0         1
#> 78    23.88      1  43        0         0
#> 78.1  23.88      1  43        0         0
#> 51.2  18.23      1  83        0         1
#> 52.3  10.42      1  52        0         1
#> 106   16.67      1  49        1         0
#> 63.2  22.77      1  31        1         0
#> 36.1  21.19      1  48        0         1
#> 10    10.53      1  34        0         0
#> 15.1  22.68      1  48        0         0
#> 101.1  9.97      1  10        0         1
#> 16.1   8.71      1  71        0         1
#> 17    24.00      0  38        0         1
#> 84    24.00      0  39        0         1
#> 142   24.00      0  53        0         0
#> 53    24.00      0  32        0         1
#> 160   24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 151   24.00      0  42        0         0
#> 198   24.00      0  66        0         1
#> 122   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 173   24.00      0  19        0         1
#> 165.1 24.00      0  47        0         0
#> 163   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 173.1 24.00      0  19        0         1
#> 176   24.00      0  43        0         1
#> 198.1 24.00      0  66        0         1
#> 102   24.00      0  49        0         0
#> 185   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 147   24.00      0  76        1         0
#> 182   24.00      0  35        0         0
#> 151.1 24.00      0  42        0         0
#> 65    24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 138   24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 120   24.00      0  68        0         1
#> 182.1 24.00      0  35        0         0
#> 148.1 24.00      0  61        1         0
#> 74    24.00      0  43        0         1
#> 80    24.00      0  41        0         0
#> 95    24.00      0  68        0         1
#> 185.1 24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 35    24.00      0  51        0         0
#> 176.1 24.00      0  43        0         1
#> 62    24.00      0  71        0         0
#> 33.1  24.00      0  53        0         0
#> 48    24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 115   24.00      0  NA        1         0
#> 112.2 24.00      0  61        0         0
#> 109   24.00      0  48        0         0
#> 160.1 24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 94    24.00      0  51        0         1
#> 64    24.00      0  43        0         0
#> 182.2 24.00      0  35        0         0
#> 80.1  24.00      0  41        0         0
#> 120.1 24.00      0  68        0         1
#> 142.1 24.00      0  53        0         0
#> 12    24.00      0  63        0         0
#> 161   24.00      0  45        0         0
#> 109.1 24.00      0  48        0         0
#> 31    24.00      0  36        0         1
#> 48.1  24.00      0  31        1         0
#> 53.1  24.00      0  32        0         1
#> 186   24.00      0  45        1         0
#> 71    24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 109.2 24.00      0  48        0         0
#> 137   24.00      0  45        1         0
#> 163.1 24.00      0  66        0         0
#> 193   24.00      0  45        0         1
#> 33.2  24.00      0  53        0         0
#> 28.1  24.00      0  67        1         0
#> 146.1 24.00      0  63        1         0
#> 17.1  24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 64.1  24.00      0  43        0         0
#> 161.1 24.00      0  45        0         0
#> 12.1  24.00      0  63        0         0
#> 22    24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 98    24.00      0  34        1         0
#> 83.1  24.00      0   6        0         0
#> 98.1  24.00      0  34        1         0
#> 84.1  24.00      0  39        0         1
#> 191   24.00      0  60        0         1
#> 72    24.00      0  40        0         1
#> 142.2 24.00      0  53        0         0
#> 182.3 24.00      0  35        0         0
#> 137.1 24.00      0  45        1         0
#> 19    24.00      0  57        0         1
#> 17.2  24.00      0  38        0         1
#> 118   24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.407           NA        NA      NA
#> 2 age, Cure model         -0.000222        NA        NA      NA
#> 3 grade_ii, Cure model     0.793           NA        NA      NA
#> 4 grade_iii, Cure model    1.09            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00656        NA        NA      NA
#> 2 grade_ii, Survival model   0.694          NA        NA      NA
#> 3 grade_iii, Survival model  0.802          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.4074721        -0.0002224         0.7927685         1.0894363  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 251.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.4074720590    -0.0002224208     0.7927685247     1.0894363233 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006559914      0.693887327      0.801939845 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.93198441 0.63777189 0.87783742 0.29593111 0.89158798 0.84921521
#>   [7] 0.90531963 0.79210555 0.57768269 0.82911787 0.90984528 0.59562037
#>  [13] 0.79210555 0.86360565 0.73776885 0.40545429 0.49940002 0.21420977
#>  [19] 0.77474853 0.66909995 0.69057894 0.56836165 0.94870393 0.37505335
#>  [25] 0.78065569 0.40545429 0.82385339 0.46136479 0.87783742 0.75675856
#>  [31] 0.99621898 0.76874452 0.69769471 0.75675856 0.90076478 0.79210555
#>  [37] 0.58667690 0.75052795 0.63777189 0.82911787 0.37505335 0.79210555
#>  [43] 0.63777189 0.72491463 0.93198441 0.81851816 0.61312149 0.78065569
#>  [49] 0.55898918 0.71826397 0.62969700 0.49940002 0.84420963 0.69769471
#>  [55] 0.93198441 0.34359425 0.91432470 0.48707728 0.99240394 0.96112781
#>  [61] 0.24676452 0.46136479 0.49940002 0.82911787 0.86838239 0.96919039
#>  [67] 0.84921521 0.92322486 0.61312149 0.53944588 0.96919039 0.95699945
#>  [73] 0.89158798 0.79210555 0.27357497 0.59562037 0.71146116 0.40545429
#>  [79] 0.40545429 0.98090027 0.87783742 0.98090027 0.87311310 0.98090027
#>  [85] 0.91879355 0.54935232 0.16915299 0.29593111 0.72491463 0.63777189
#>  [91] 0.96919039 0.84921521 0.66909995 0.07956605 0.07956605 0.66909995
#>  [97] 0.93198441 0.74419653 0.29593111 0.49940002 0.92760722 0.34359425
#> [103] 0.94870393 0.96112781 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    52     8    60    63    14    29   154   188   158   125    42   105 188.1 
#> 10.42 18.43 13.15 22.77 12.89 15.45 12.63 16.16 20.14 15.65 12.43 19.75 16.16 
#>    18    23   175    36   129     5    51    41    68   101    66    79 175.1 
#> 15.21 16.92 21.91 21.19 23.41 16.43 18.23 18.02 20.62  9.97 22.13 16.23 21.91 
#>    26   136  60.1   130   127    85    40 130.1   140 188.2   166   171   8.1 
#> 15.77 21.83 13.15 16.47  3.53 16.44 18.00 16.47 12.68 16.16 19.98 16.57 18.43 
#> 125.1  66.1 188.3   8.2   117  52.1   100   170  79.1   190   110    55    99 
#> 15.65 22.13 16.16 18.43 17.46 10.42 16.07 19.54 16.23 20.81 17.56 19.34 21.19 
#>    39  40.1  52.2    15    56   197    91    16    69 136.1  99.1 125.2    96 
#> 15.59 18.00 10.42 22.68 12.21 21.60  5.33  8.71 23.23 21.83 21.19 15.65 14.54 
#>    77  29.1    43 170.1    90  77.1   187  14.1 188.4    92 105.1   134 175.2 
#>  7.27 15.45 12.10 19.54 20.94  7.27  9.92 12.89 16.16 22.92 19.75 17.81 21.91 
#> 175.3    25  60.2  25.1    81  25.2    49    32   168  63.1 117.1   8.3  77.2 
#> 21.91  6.32 13.15  6.32 14.06  6.32 12.19 20.90 23.72 22.77 17.46 18.43  7.27 
#>  29.2  51.1    78  78.1  51.2  52.3   106  63.2  36.1    10  15.1 101.1  16.1 
#> 15.45 18.23 23.88 23.88 18.23 10.42 16.67 22.77 21.19 10.53 22.68  9.97  8.71 
#>    17    84   142    53   160   112   151   198   122   165   173 165.1   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146   119 173.1   176 198.1   102   185   148   147   182 151.1    65    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138 112.1   120 182.1 148.1    74    80    95 185.1    33    35 176.1    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1    48   172 112.2   109 160.1   126    94    64 182.2  80.1 120.1 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   161 109.1    31  48.1  53.1   186    71 109.2   137 163.1   193  33.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.1 146.1  17.1    44  64.1 161.1  12.1    22    83    98  83.1  98.1  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191    72 142.2 182.3 137.1    19  17.2   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[26]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0005671027              0.4343505838              0.1468041202 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.269511631            -0.005471291            -0.130670367 
#>   grade_iii, Cure model 
#>             0.712346868 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 88    18.37      1  47        0         0
#> 76    19.22      1  54        0         1
#> 170   19.54      1  43        0         1
#> 58    19.34      1  39        0         0
#> 40    18.00      1  28        1         0
#> 123   13.00      1  44        1         0
#> 39    15.59      1  37        0         1
#> 184   17.77      1  38        0         0
#> 194   22.40      1  38        0         1
#> 130   16.47      1  53        0         1
#> 92    22.92      1  47        0         1
#> 110   17.56      1  65        0         1
#> 13    14.34      1  54        0         1
#> 99    21.19      1  38        0         1
#> 86    23.81      1  58        0         1
#> 10    10.53      1  34        0         0
#> 140   12.68      1  59        1         0
#> 69    23.23      1  25        0         1
#> 183    9.24      1  67        1         0
#> 168   23.72      1  70        0         0
#> 5     16.43      1  51        0         1
#> 88.1  18.37      1  47        0         0
#> 100   16.07      1  60        0         0
#> 56    12.21      1  60        0         0
#> 69.1  23.23      1  25        0         1
#> 197   21.60      1  69        1         0
#> 96    14.54      1  33        0         1
#> 41    18.02      1  40        1         0
#> 195   11.76      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 167   15.55      1  56        1         0
#> 157   15.10      1  47        0         0
#> 157.1 15.10      1  47        0         0
#> 24    23.89      1  38        0         0
#> 157.2 15.10      1  47        0         0
#> 51    18.23      1  83        0         1
#> 6     15.64      1  39        0         0
#> 139   21.49      1  63        1         0
#> 78    23.88      1  43        0         0
#> 8.1   18.43      1  32        0         0
#> 58.1  19.34      1  39        0         0
#> 25     6.32      1  34        1         0
#> 86.1  23.81      1  58        0         1
#> 15    22.68      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 170.1 19.54      1  43        0         1
#> 76.1  19.22      1  54        0         1
#> 92.1  22.92      1  47        0         1
#> 85    16.44      1  36        0         0
#> 155   13.08      1  26        0         0
#> 42    12.43      1  49        0         1
#> 183.1  9.24      1  67        1         0
#> 39.1  15.59      1  37        0         1
#> 110.1 17.56      1  65        0         1
#> 24.1  23.89      1  38        0         0
#> 63    22.77      1  31        1         0
#> 10.1  10.53      1  34        0         0
#> 166   19.98      1  48        0         0
#> 41.1  18.02      1  40        1         0
#> 175   21.91      1  43        0         0
#> 177   12.53      1  75        0         0
#> 105   19.75      1  60        0         0
#> 180   14.82      1  37        0         0
#> 15.1  22.68      1  48        0         0
#> 81    14.06      1  34        0         0
#> 57    14.46      1  45        0         1
#> 97    19.14      1  65        0         1
#> 180.1 14.82      1  37        0         0
#> 130.1 16.47      1  53        0         1
#> 113   22.86      1  34        0         0
#> 8.2   18.43      1  32        0         0
#> 105.1 19.75      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 86.2  23.81      1  58        0         1
#> 93    10.33      1  52        0         1
#> 76.2  19.22      1  54        0         1
#> 91     5.33      1  61        0         1
#> 140.1 12.68      1  59        1         0
#> 5.1   16.43      1  51        0         1
#> 129   23.41      1  53        1         0
#> 37    12.52      1  57        1         0
#> 63.1  22.77      1  31        1         0
#> 78.1  23.88      1  43        0         0
#> 190   20.81      1  42        1         0
#> 85.1  16.44      1  36        0         0
#> 5.2   16.43      1  51        0         1
#> 69.2  23.23      1  25        0         1
#> 171   16.57      1  41        0         1
#> 180.2 14.82      1  37        0         0
#> 51.1  18.23      1  83        0         1
#> 134   17.81      1  47        1         0
#> 199.1 19.81      1  NA        0         1
#> 145   10.07      1  65        1         0
#> 101    9.97      1  10        0         1
#> 187    9.92      1  39        1         0
#> 37.1  12.52      1  57        1         0
#> 155.1 13.08      1  26        0         0
#> 42.1  12.43      1  49        0         1
#> 76.3  19.22      1  54        0         1
#> 8.3   18.43      1  32        0         0
#> 15.2  22.68      1  48        0         0
#> 117   17.46      1  26        0         1
#> 171.1 16.57      1  41        0         1
#> 129.1 23.41      1  53        1         0
#> 195.1 11.76      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 61    10.12      1  36        0         1
#> 169   22.41      1  46        0         0
#> 164   23.60      1  76        0         1
#> 175.1 21.91      1  43        0         0
#> 90    20.94      1  50        0         1
#> 114   13.68      1  NA        0         0
#> 102   24.00      0  49        0         0
#> 104   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 116   24.00      0  58        0         1
#> 116.1 24.00      0  58        0         1
#> 182   24.00      0  35        0         0
#> 156   24.00      0  50        1         0
#> 28    24.00      0  67        1         0
#> 200   24.00      0  64        0         0
#> 21    24.00      0  47        0         0
#> 182.1 24.00      0  35        0         0
#> 109   24.00      0  48        0         0
#> 161   24.00      0  45        0         0
#> 112   24.00      0  61        0         0
#> 156.1 24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 72    24.00      0  40        0         1
#> 44    24.00      0  56        0         0
#> 94    24.00      0  51        0         1
#> 165   24.00      0  47        0         0
#> 38    24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 12    24.00      0  63        0         0
#> 28.1  24.00      0  67        1         0
#> 148   24.00      0  61        1         0
#> 198   24.00      0  66        0         1
#> 115   24.00      0  NA        1         0
#> 163   24.00      0  66        0         0
#> 162   24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 193   24.00      0  45        0         1
#> 146   24.00      0  63        1         0
#> 2     24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 33    24.00      0  53        0         0
#> 182.2 24.00      0  35        0         0
#> 119   24.00      0  17        0         0
#> 22    24.00      0  52        1         0
#> 38.1  24.00      0  31        1         0
#> 94.1  24.00      0  51        0         1
#> 54    24.00      0  53        1         0
#> 165.1 24.00      0  47        0         0
#> 152   24.00      0  36        0         1
#> 148.1 24.00      0  61        1         0
#> 176   24.00      0  43        0         1
#> 74    24.00      0  43        0         1
#> 12.1  24.00      0  63        0         0
#> 67    24.00      0  25        0         0
#> 144   24.00      0  28        0         1
#> 182.3 24.00      0  35        0         0
#> 191   24.00      0  60        0         1
#> 132.1 24.00      0  55        0         0
#> 126   24.00      0  48        0         0
#> 198.1 24.00      0  66        0         1
#> 46    24.00      0  71        0         0
#> 165.2 24.00      0  47        0         0
#> 22.1  24.00      0  52        1         0
#> 22.2  24.00      0  52        1         0
#> 7     24.00      0  37        1         0
#> 115.1 24.00      0  NA        1         0
#> 19.1  24.00      0  57        0         1
#> 53    24.00      0  32        0         1
#> 7.1   24.00      0  37        1         0
#> 71    24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 138   24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 119.1 24.00      0  17        0         0
#> 126.1 24.00      0  48        0         0
#> 161.1 24.00      0  45        0         0
#> 141   24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 3     24.00      0  31        1         0
#> 109.1 24.00      0  48        0         0
#> 31    24.00      0  36        0         1
#> 193.1 24.00      0  45        0         1
#> 65    24.00      0  57        1         0
#> 176.1 24.00      0  43        0         1
#> 156.2 24.00      0  50        1         0
#> 7.2   24.00      0  37        1         0
#> 142   24.00      0  53        0         0
#> 35    24.00      0  51        0         0
#> 94.2  24.00      0  51        0         1
#> 38.2  24.00      0  31        1         0
#> 71.1  24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.270          NA        NA      NA
#> 2 age, Cure model         -0.00547        NA        NA      NA
#> 3 grade_ii, Cure model    -0.131          NA        NA      NA
#> 4 grade_iii, Cure model    0.712          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000567        NA        NA      NA
#> 2 grade_ii, Survival model   0.434           NA        NA      NA
#> 3 grade_iii, Survival model  0.147           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.269512         -0.005471         -0.130670          0.712347  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 258 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.269511631     -0.005471291     -0.130670367      0.712346868 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0005671027     0.4343505838     0.1468041202 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.49062178 0.40923582 0.37195448 0.39058534 0.54532434 0.83263184
#>   [7] 0.70338777 0.56324571 0.26573734 0.61624741 0.17579474 0.57217296
#>  [13] 0.79815919 0.31496117 0.06509119 0.90861296 0.84122859 0.14532948
#>  [19] 0.96718312 0.09833492 0.65999065 0.49062178 0.68588980 0.90020048
#>  [25] 0.14532948 0.29541976 0.78084710 0.52732549 0.45457282 0.72072187
#>  [31] 0.72938968 0.72938968 0.01404672 0.72938968 0.50900829 0.69463758
#>  [37] 0.30526702 0.03902385 0.45457282 0.39058534 0.98359644 0.06509119
#>  [43] 0.22671969 0.37195448 0.40923582 0.17579474 0.64252338 0.81543775
#>  [49] 0.88345936 0.96718312 0.70338777 0.57217296 0.01404672 0.20704678
#>  [55] 0.90861296 0.34371437 0.52732549 0.27574100 0.85816443 0.35320153
#>  [61] 0.75510925 0.22671969 0.80679759 0.78950927 0.44529349 0.75510925
#>  [67] 0.61624741 0.19643121 0.45457282 0.35320153 0.06509119 0.92536592
#>  [73] 0.40923582 0.99180224 0.84122859 0.65999065 0.12358169 0.86667806
#>  [79] 0.20704678 0.03902385 0.33423426 0.64252338 0.65999065 0.14532948
#>  [85] 0.59869875 0.75510925 0.50900829 0.55432148 0.94216620 0.95052489
#>  [91] 0.95887246 0.86667806 0.81543775 0.88345936 0.40923582 0.45457282
#>  [97] 0.22671969 0.58982472 0.59869875 0.12358169 0.63373445 0.93377115
#> [103] 0.25568322 0.11103585 0.27574100 0.32461569 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    88    76   170    58    40   123    39   184   194   130    92   110    13 
#> 18.37 19.22 19.54 19.34 18.00 13.00 15.59 17.77 22.40 16.47 22.92 17.56 14.34 
#>    99    86    10   140    69   183   168     5  88.1   100    56  69.1   197 
#> 21.19 23.81 10.53 12.68 23.23  9.24 23.72 16.43 18.37 16.07 12.21 23.23 21.60 
#>    96    41     8   167   157 157.1    24 157.2    51     6   139    78   8.1 
#> 14.54 18.02 18.43 15.55 15.10 15.10 23.89 15.10 18.23 15.64 21.49 23.88 18.43 
#>  58.1    25  86.1    15 170.1  76.1  92.1    85   155    42 183.1  39.1 110.1 
#> 19.34  6.32 23.81 22.68 19.54 19.22 22.92 16.44 13.08 12.43  9.24 15.59 17.56 
#>  24.1    63  10.1   166  41.1   175   177   105   180  15.1    81    57    97 
#> 23.89 22.77 10.53 19.98 18.02 21.91 12.53 19.75 14.82 22.68 14.06 14.46 19.14 
#> 180.1 130.1   113   8.2 105.1  86.2    93  76.2    91 140.1   5.1   129    37 
#> 14.82 16.47 22.86 18.43 19.75 23.81 10.33 19.22  5.33 12.68 16.43 23.41 12.52 
#>  63.1  78.1   190  85.1   5.2  69.2   171 180.2  51.1   134   145   101   187 
#> 22.77 23.88 20.81 16.44 16.43 23.23 16.57 14.82 18.23 17.81 10.07  9.97  9.92 
#>  37.1 155.1  42.1  76.3   8.3  15.2   117 171.1 129.1   181    61   169   164 
#> 12.52 13.08 12.43 19.22 18.43 22.68 17.46 16.57 23.41 16.46 10.12 22.41 23.60 
#> 175.1    90   102   104   143    19   116 116.1   182   156    28   200    21 
#> 21.91 20.94 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1   109   161   112 156.1   160    34    72    44    94   165    38   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12  28.1   148   198   163   162    80    11   193   146     2   172    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.2   119    22  38.1  94.1    54 165.1   152 148.1   176    74  12.1    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144 182.3   191 132.1   126 198.1    46 165.2  22.1  22.2     7  19.1    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1    71    64   138   178 119.1 126.1 161.1   141 112.1     3 109.1    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1    65 176.1 156.2   7.2   142    35  94.2  38.2  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[27]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007508305               0.148598714               0.481452763 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.395304150             0.006867184             0.158813802 
#>   grade_iii, Cure model 
#>             0.621395924 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 58    19.34      1  39        0         0
#> 10    10.53      1  34        0         0
#> 68    20.62      1  44        0         0
#> 166   19.98      1  48        0         0
#> 14    12.89      1  21        0         0
#> 5     16.43      1  51        0         1
#> 105   19.75      1  60        0         0
#> 18    15.21      1  49        1         0
#> 166.1 19.98      1  48        0         0
#> 42    12.43      1  49        0         1
#> 157   15.10      1  47        0         0
#> 18.1  15.21      1  49        1         0
#> 180   14.82      1  37        0         0
#> 26    15.77      1  49        0         1
#> 100   16.07      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 150   20.33      1  48        0         0
#> 57    14.46      1  45        0         1
#> 190   20.81      1  42        1         0
#> 180.1 14.82      1  37        0         0
#> 158   20.14      1  74        1         0
#> 16     8.71      1  71        0         1
#> 85    16.44      1  36        0         0
#> 60    13.15      1  38        1         0
#> 37    12.52      1  57        1         0
#> 192   16.44      1  31        1         0
#> 159   10.55      1  50        0         1
#> 140   12.68      1  59        1         0
#> 167   15.55      1  56        1         0
#> 40    18.00      1  28        1         0
#> 136   21.83      1  43        0         1
#> 36    21.19      1  48        0         1
#> 51    18.23      1  83        0         1
#> 40.1  18.00      1  28        1         0
#> 190.1 20.81      1  42        1         0
#> 61    10.12      1  36        0         1
#> 153   21.33      1  55        1         0
#> 127    3.53      1  62        0         1
#> 49    12.19      1  48        1         0
#> 59    10.16      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 110   17.56      1  65        0         1
#> 106   16.67      1  49        1         0
#> 10.1  10.53      1  34        0         0
#> 140.1 12.68      1  59        1         0
#> 149    8.37      1  33        1         0
#> 77     7.27      1  67        0         1
#> 159.1 10.55      1  50        0         1
#> 37.1  12.52      1  57        1         0
#> 50    10.02      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 153.1 21.33      1  55        1         0
#> 68.1  20.62      1  44        0         0
#> 190.2 20.81      1  42        1         0
#> 24    23.89      1  38        0         0
#> 180.2 14.82      1  37        0         0
#> 159.2 10.55      1  50        0         1
#> 79    16.23      1  54        1         0
#> 155   13.08      1  26        0         0
#> 76    19.22      1  54        0         1
#> 110.1 17.56      1  65        0         1
#> 127.1  3.53      1  62        0         1
#> 175   21.91      1  43        0         0
#> 24.1  23.89      1  38        0         0
#> 52    10.42      1  52        0         1
#> 175.1 21.91      1  43        0         0
#> 4.1   17.64      1  NA        0         1
#> 93    10.33      1  52        0         1
#> 130   16.47      1  53        0         1
#> 149.1  8.37      1  33        1         0
#> 4.2   17.64      1  NA        0         1
#> 42.1  12.43      1  49        0         1
#> 125   15.65      1  67        1         0
#> 43    12.10      1  61        0         1
#> 139   21.49      1  63        1         0
#> 199   19.81      1  NA        0         1
#> 39    15.59      1  37        0         1
#> 105.1 19.75      1  60        0         0
#> 136.1 21.83      1  43        0         1
#> 56    12.21      1  60        0         0
#> 179   18.63      1  42        0         0
#> 89    11.44      1  NA        0         0
#> 29    15.45      1  68        1         0
#> 129.1 23.41      1  53        1         0
#> 195   11.76      1  NA        1         0
#> 157.1 15.10      1  47        0         0
#> 194   22.40      1  38        0         1
#> 105.2 19.75      1  60        0         0
#> 60.1  13.15      1  38        1         0
#> 5.1   16.43      1  51        0         1
#> 150.1 20.33      1  48        0         0
#> 25     6.32      1  34        1         0
#> 114   13.68      1  NA        0         0
#> 149.2  8.37      1  33        1         0
#> 77.1   7.27      1  67        0         1
#> 49.1  12.19      1  48        1         0
#> 192.1 16.44      1  31        1         0
#> 110.2 17.56      1  65        0         1
#> 194.1 22.40      1  38        0         1
#> 40.2  18.00      1  28        1         0
#> 16.1   8.71      1  71        0         1
#> 188   16.16      1  46        0         1
#> 77.2   7.27      1  67        0         1
#> 188.1 16.16      1  46        0         1
#> 127.2  3.53      1  62        0         1
#> 6     15.64      1  39        0         0
#> 155.1 13.08      1  26        0         0
#> 32    20.90      1  37        1         0
#> 25.1   6.32      1  34        1         0
#> 195.1 11.76      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 139.1 21.49      1  63        1         0
#> 119   24.00      0  17        0         0
#> 9     24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 178   24.00      0  52        1         0
#> 137   24.00      0  45        1         0
#> 119.1 24.00      0  17        0         0
#> 33    24.00      0  53        0         0
#> 64    24.00      0  43        0         0
#> 67    24.00      0  25        0         0
#> 148   24.00      0  61        1         0
#> 172   24.00      0  41        0         0
#> 174   24.00      0  49        1         0
#> 138   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 11    24.00      0  42        0         1
#> 172.1 24.00      0  41        0         0
#> 65    24.00      0  57        1         0
#> 138.1 24.00      0  44        1         0
#> 65.1  24.00      0  57        1         0
#> 193   24.00      0  45        0         1
#> 185   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 47    24.00      0  38        0         1
#> 95    24.00      0  68        0         1
#> 12    24.00      0  63        0         0
#> 112   24.00      0  61        0         0
#> 176   24.00      0  43        0         1
#> 193.1 24.00      0  45        0         1
#> 198   24.00      0  66        0         1
#> 27    24.00      0  63        1         0
#> 115   24.00      0  NA        1         0
#> 7     24.00      0  37        1         0
#> 135   24.00      0  58        1         0
#> 53    24.00      0  32        0         1
#> 17    24.00      0  38        0         1
#> 156   24.00      0  50        1         0
#> 137.1 24.00      0  45        1         0
#> 22    24.00      0  52        1         0
#> 47.1  24.00      0  38        0         1
#> 73    24.00      0  NA        0         1
#> 102   24.00      0  49        0         0
#> 35    24.00      0  51        0         0
#> 7.1   24.00      0  37        1         0
#> 28    24.00      0  67        1         0
#> 200.1 24.00      0  64        0         0
#> 67.1  24.00      0  25        0         0
#> 160   24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 84    24.00      0  39        0         1
#> 87    24.00      0  27        0         0
#> 151   24.00      0  42        0         0
#> 3     24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 95.1  24.00      0  68        0         1
#> 138.2 24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 119.2 24.00      0  17        0         0
#> 122.1 24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 196   24.00      0  19        0         0
#> 19    24.00      0  57        0         1
#> 9.1   24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 120   24.00      0  68        0         1
#> 112.1 24.00      0  61        0         0
#> 185.1 24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 132   24.00      0  55        0         0
#> 116   24.00      0  58        0         1
#> 9.2   24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 27.1  24.00      0  63        1         0
#> 131   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 161.1 24.00      0  45        0         0
#> 54    24.00      0  53        1         0
#> 131.1 24.00      0  66        0         0
#> 27.2  24.00      0  63        1         0
#> 152   24.00      0  36        0         1
#> 1     24.00      0  23        1         0
#> 19.2  24.00      0  57        0         1
#> 82.1  24.00      0  34        0         0
#> 11.1  24.00      0  42        0         1
#> 7.2   24.00      0  37        1         0
#> 196.1 24.00      0  19        0         0
#> 95.2  24.00      0  68        0         1
#> 67.2  24.00      0  25        0         0
#> 121   24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.395          NA        NA      NA
#> 2 age, Cure model          0.00687        NA        NA      NA
#> 3 grade_ii, Cure model     0.159          NA        NA      NA
#> 4 grade_iii, Cure model    0.621          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00751        NA        NA      NA
#> 2 grade_ii, Survival model   0.149          NA        NA      NA
#> 3 grade_iii, Survival model  0.481          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.395304          0.006867          0.158814          0.621396  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 255.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.395304150      0.006867184      0.158813802      0.621395924 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007508305      0.148598714      0.481452763 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.49862752 0.90014400 0.39325238 0.44805779 0.80666890 0.63013334
#>   [7] 0.46887086 0.71901176 0.44805779 0.84536762 0.73285772 0.71901176
#>  [13] 0.74659387 0.67578975 0.66832828 0.41553349 0.76692423 0.35957334
#>  [19] 0.74659387 0.43730837 0.92936188 0.60618930 0.78036307 0.83265340
#>  [25] 0.60618930 0.88245723 0.81325136 0.70484832 0.53753114 0.25117016
#>  [31] 0.33474187 0.52816866 0.53753114 0.35957334 0.92359524 0.30889010
#>  [37] 0.98428488 0.86405967 0.77368531 0.56453415 0.58957727 0.90014400
#>  [43] 0.81325136 0.94061465 0.95729803 0.88245723 0.83265340 0.12843409
#>  [49] 0.30889010 0.39325238 0.35957334 0.06056026 0.74659387 0.88245723
#>  [55] 0.64565536 0.79353948 0.50868110 0.56453415 0.98428488 0.21581375
#>  [61] 0.06056026 0.91192909 0.21581375 0.91778796 0.59796458 0.94061465
#>  [67] 0.84536762 0.68314259 0.87635487 0.28130128 0.69767825 0.46887086
#>  [73] 0.25117016 0.85783101 0.51845882 0.71196290 0.12843409 0.73285772
#>  [79] 0.17812511 0.46887086 0.78036307 0.63013334 0.41553349 0.97350783
#>  [85] 0.94061465 0.95729803 0.86405967 0.60618930 0.56453415 0.17812511
#>  [91] 0.53753114 0.92936188 0.65339430 0.95729803 0.65339430 0.98428488
#>  [97] 0.69042343 0.79353948 0.34727558 0.97350783 0.82619463 0.28130128
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    58    10    68   166    14     5   105    18 166.1    42   157  18.1   180 
#> 19.34 10.53 20.62 19.98 12.89 16.43 19.75 15.21 19.98 12.43 15.10 15.21 14.82 
#>    26   100   150    57   190 180.1   158    16    85    60    37   192   159 
#> 15.77 16.07 20.33 14.46 20.81 14.82 20.14  8.71 16.44 13.15 12.52 16.44 10.55 
#>   140   167    40   136    36    51  40.1 190.1    61   153   127    49    13 
#> 12.68 15.55 18.00 21.83 21.19 18.23 18.00 20.81 10.12 21.33  3.53 12.19 14.34 
#>   110   106  10.1 140.1   149    77 159.1  37.1   129 153.1  68.1 190.2    24 
#> 17.56 16.67 10.53 12.68  8.37  7.27 10.55 12.52 23.41 21.33 20.62 20.81 23.89 
#> 180.2 159.2    79   155    76 110.1 127.1   175  24.1    52 175.1    93   130 
#> 14.82 10.55 16.23 13.08 19.22 17.56  3.53 21.91 23.89 10.42 21.91 10.33 16.47 
#> 149.1  42.1   125    43   139    39 105.1 136.1    56   179    29 129.1 157.1 
#>  8.37 12.43 15.65 12.10 21.49 15.59 19.75 21.83 12.21 18.63 15.45 23.41 15.10 
#>   194 105.2  60.1   5.1 150.1    25 149.2  77.1  49.1 192.1 110.2 194.1  40.2 
#> 22.40 19.75 13.15 16.43 20.33  6.32  8.37  7.27 12.19 16.44 17.56 22.40 18.00 
#>  16.1   188  77.2 188.1 127.2     6 155.1    32  25.1   177 139.1   119     9 
#>  8.71 16.16  7.27 16.16  3.53 15.64 13.08 20.90  6.32 12.53 21.49 24.00 24.00 
#>    34   178   137 119.1    33    64    67   148   172   174   138   142    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1    65 138.1  65.1   193   185   200    47    95    12   112   176 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198    27     7   135    53    17   156 137.1    22  47.1   102    35   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28 200.1  67.1   160   146    84    87   151     3   122  95.1 138.2   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.2 122.1    80   196    19   9.1    82   120 112.1 185.1   103   132   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.2  19.1  27.1   131   161 161.1    54 131.1  27.2   152     1  19.2  82.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1   7.2 196.1  95.2  67.2   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[28]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001657558               0.856121888               0.376665181 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.59812796              0.00800593              0.26411619 
#>   grade_iii, Cure model 
#>              0.94762767 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 113   22.86      1  34        0         0
#> 97    19.14      1  65        0         1
#> 190   20.81      1  42        1         0
#> 192   16.44      1  31        1         0
#> 10    10.53      1  34        0         0
#> 194   22.40      1  38        0         1
#> 171   16.57      1  41        0         1
#> 36    21.19      1  48        0         1
#> 61    10.12      1  36        0         1
#> 92    22.92      1  47        0         1
#> 51    18.23      1  83        0         1
#> 183    9.24      1  67        1         0
#> 45    17.42      1  54        0         1
#> 177   12.53      1  75        0         0
#> 175   21.91      1  43        0         0
#> 110   17.56      1  65        0         1
#> 145   10.07      1  65        1         0
#> 105   19.75      1  60        0         0
#> 183.1  9.24      1  67        1         0
#> 86    23.81      1  58        0         1
#> 42    12.43      1  49        0         1
#> 6     15.64      1  39        0         0
#> 56    12.21      1  60        0         0
#> 128   20.35      1  35        0         1
#> 194.1 22.40      1  38        0         1
#> 51.1  18.23      1  83        0         1
#> 6.1   15.64      1  39        0         0
#> 180   14.82      1  37        0         0
#> 93    10.33      1  52        0         1
#> 170   19.54      1  43        0         1
#> 159   10.55      1  50        0         1
#> 63    22.77      1  31        1         0
#> 43    12.10      1  61        0         1
#> 168   23.72      1  70        0         0
#> 37    12.52      1  57        1         0
#> 24    23.89      1  38        0         0
#> 199   19.81      1  NA        0         1
#> 108   18.29      1  39        0         1
#> 134   17.81      1  47        1         0
#> 96    14.54      1  33        0         1
#> 13    14.34      1  54        0         1
#> 59    10.16      1  NA        1         0
#> 192.1 16.44      1  31        1         0
#> 76    19.22      1  54        0         1
#> 63.1  22.77      1  31        1         0
#> 41    18.02      1  40        1         0
#> 194.2 22.40      1  38        0         1
#> 37.1  12.52      1  57        1         0
#> 89    11.44      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 23    16.92      1  61        0         0
#> 29    15.45      1  68        1         0
#> 101    9.97      1  10        0         1
#> 96.1  14.54      1  33        0         1
#> 101.1  9.97      1  10        0         1
#> 197   21.60      1  69        1         0
#> 8     18.43      1  32        0         0
#> 145.1 10.07      1  65        1         0
#> 150   20.33      1  48        0         0
#> 181   16.46      1  45        0         1
#> 167   15.55      1  56        1         0
#> 155   13.08      1  26        0         0
#> 10.1  10.53      1  34        0         0
#> 78    23.88      1  43        0         0
#> 114   13.68      1  NA        0         0
#> 39    15.59      1  37        0         1
#> 108.1 18.29      1  39        0         1
#> 68    20.62      1  44        0         0
#> 110.1 17.56      1  65        0         1
#> 86.1  23.81      1  58        0         1
#> 29.1  15.45      1  68        1         0
#> 4     17.64      1  NA        0         1
#> 52    10.42      1  52        0         1
#> 14    12.89      1  21        0         0
#> 167.1 15.55      1  56        1         0
#> 181.1 16.46      1  45        0         1
#> 23.1  16.92      1  61        0         0
#> 77     7.27      1  67        0         1
#> 58    19.34      1  39        0         0
#> 57    14.46      1  45        0         1
#> 175.1 21.91      1  43        0         0
#> 145.2 10.07      1  65        1         0
#> 111   17.45      1  47        0         1
#> 97.1  19.14      1  65        0         1
#> 145.3 10.07      1  65        1         0
#> 55    19.34      1  69        0         1
#> 24.1  23.89      1  38        0         0
#> 164   23.60      1  76        0         1
#> 15    22.68      1  48        0         0
#> 166   19.98      1  48        0         0
#> 171.1 16.57      1  41        0         1
#> 124    9.73      1  NA        1         0
#> 197.1 21.60      1  69        1         0
#> 189   10.51      1  NA        1         0
#> 56.1  12.21      1  60        0         0
#> 187    9.92      1  39        1         0
#> 49    12.19      1  48        1         0
#> 107   11.18      1  54        1         0
#> 184   17.77      1  38        0         0
#> 59.1  10.16      1  NA        1         0
#> 170.1 19.54      1  43        0         1
#> 125   15.65      1  67        1         0
#> 57.1  14.46      1  45        0         1
#> 23.2  16.92      1  61        0         0
#> 113.1 22.86      1  34        0         0
#> 70     7.38      1  30        1         0
#> 90.1  20.94      1  50        0         1
#> 166.1 19.98      1  48        0         0
#> 134.1 17.81      1  47        1         0
#> 45.1  17.42      1  54        0         1
#> 13.1  14.34      1  54        0         1
#> 123   13.00      1  44        1         0
#> 193   24.00      0  45        0         1
#> 126   24.00      0  48        0         0
#> 87    24.00      0  27        0         0
#> 151   24.00      0  42        0         0
#> 33    24.00      0  53        0         0
#> 131   24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 73    24.00      0  NA        0         1
#> 2     24.00      0   9        0         0
#> 146   24.00      0  63        1         0
#> 160   24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 116   24.00      0  58        0         1
#> 162   24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 144   24.00      0  28        0         1
#> 33.1  24.00      0  53        0         0
#> 65    24.00      0  57        1         0
#> 161   24.00      0  45        0         0
#> 121   24.00      0  57        1         0
#> 152   24.00      0  36        0         1
#> 94.1  24.00      0  51        0         1
#> 2.1   24.00      0   9        0         0
#> 176   24.00      0  43        0         1
#> 146.1 24.00      0  63        1         0
#> 174   24.00      0  49        1         0
#> 102   24.00      0  49        0         0
#> 65.1  24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 120   24.00      0  68        0         1
#> 142   24.00      0  53        0         0
#> 35    24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 19    24.00      0  57        0         1
#> 163   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 142.1 24.00      0  53        0         0
#> 176.1 24.00      0  43        0         1
#> 82    24.00      0  34        0         0
#> 152.1 24.00      0  36        0         1
#> 120.1 24.00      0  68        0         1
#> 196   24.00      0  19        0         0
#> 102.1 24.00      0  49        0         0
#> 94.2  24.00      0  51        0         1
#> 9     24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 163.1 24.00      0  66        0         0
#> 160.1 24.00      0  31        1         0
#> 163.2 24.00      0  66        0         0
#> 112   24.00      0  61        0         0
#> 143   24.00      0  51        0         0
#> 47.1  24.00      0  38        0         1
#> 174.1 24.00      0  49        1         0
#> 48    24.00      0  31        1         0
#> 34.1  24.00      0  36        0         0
#> 33.2  24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 151.1 24.00      0  42        0         0
#> 44    24.00      0  56        0         0
#> 34.2  24.00      0  36        0         0
#> 9.1   24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 65.2  24.00      0  57        1         0
#> 94.3  24.00      0  51        0         1
#> 17    24.00      0  38        0         1
#> 131.1 24.00      0  66        0         0
#> 65.3  24.00      0  57        1         0
#> 28.1  24.00      0  67        1         0
#> 28.2  24.00      0  67        1         0
#> 1     24.00      0  23        1         0
#> 172   24.00      0  41        0         0
#> 21    24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 1.1   24.00      0  23        1         0
#> 34.3  24.00      0  36        0         0
#> 20    24.00      0  46        1         0
#> 119   24.00      0  17        0         0
#> 73.1  24.00      0  NA        0         1
#> 143.1 24.00      0  51        0         0
#> 146.2 24.00      0  63        1         0
#> 95    24.00      0  68        0         1
#> 27    24.00      0  63        1         0
#> 132   24.00      0  55        0         0
#> 137   24.00      0  45        1         0
#> 103   24.00      0  56        1         0
#> 83    24.00      0   6        0         0
#> 17.1  24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.598          NA        NA      NA
#> 2 age, Cure model          0.00801        NA        NA      NA
#> 3 grade_ii, Cure model     0.264          NA        NA      NA
#> 4 grade_iii, Cure model    0.948          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00166        NA        NA      NA
#> 2 grade_ii, Survival model   0.856          NA        NA      NA
#> 3 grade_iii, Survival model  0.377          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.598128          0.008006          0.264116          0.947628  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 253.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.59812796       0.00800593       0.26411619       0.94762767 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001657558      0.856121888      0.376665181 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.19820018 0.50898235 0.38982043 0.70179379 0.90553663 0.27301745
#>   [7] 0.67063754 0.35746742 0.93031339 0.18061712 0.55503124 0.97734792
#>  [13] 0.63099608 0.84165170 0.31006554 0.60652876 0.93646514 0.45070893
#>  [19] 0.97734792 0.10385366 0.86114757 0.72418955 0.86758082 0.41044052
#>  [25] 0.27301745 0.55503124 0.72418955 0.77423910 0.92413930 0.46078159
#>  [31] 0.89930818 0.23149352 0.88673103 0.14186209 0.84827348 0.02972261
#>  [37] 0.53685873 0.58156557 0.78115487 0.80830393 0.70179379 0.49940968
#>  [43] 0.23149352 0.57281239 0.27301745 0.84827348 0.36860940 0.64694893
#>  [49] 0.76046158 0.95984430 0.78115487 0.95984430 0.33513479 0.52751737
#>  [55] 0.93646514 0.42060170 0.68631648 0.74626355 0.82167961 0.90553663
#>  [61] 0.07600989 0.73890785 0.53685873 0.40014051 0.60652876 0.10385366
#>  [67] 0.76046158 0.91794083 0.83502302 0.74626355 0.68631648 0.64694893
#>  [73] 0.99436787 0.48023165 0.79479550 0.31006554 0.93646514 0.62284544
#>  [79] 0.50898235 0.93646514 0.48023165 0.02972261 0.16199305 0.25896172
#>  [85] 0.43074261 0.67063754 0.33513479 0.86758082 0.97153692 0.88037985
#>  [91] 0.89305446 0.59817379 0.46078159 0.71678253 0.79479550 0.64694893
#>  [97] 0.19820018 0.98871563 0.36860940 0.43074261 0.58156557 0.63099608
#> [103] 0.80830393 0.82839248 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   113    97   190   192    10   194   171    36    61    92    51   183    45 
#> 22.86 19.14 20.81 16.44 10.53 22.40 16.57 21.19 10.12 22.92 18.23  9.24 17.42 
#>   177   175   110   145   105 183.1    86    42     6    56   128 194.1  51.1 
#> 12.53 21.91 17.56 10.07 19.75  9.24 23.81 12.43 15.64 12.21 20.35 22.40 18.23 
#>   6.1   180    93   170   159    63    43   168    37    24   108   134    96 
#> 15.64 14.82 10.33 19.54 10.55 22.77 12.10 23.72 12.52 23.89 18.29 17.81 14.54 
#>    13 192.1    76  63.1    41 194.2  37.1    90    23    29   101  96.1 101.1 
#> 14.34 16.44 19.22 22.77 18.02 22.40 12.52 20.94 16.92 15.45  9.97 14.54  9.97 
#>   197     8 145.1   150   181   167   155  10.1    78    39 108.1    68 110.1 
#> 21.60 18.43 10.07 20.33 16.46 15.55 13.08 10.53 23.88 15.59 18.29 20.62 17.56 
#>  86.1  29.1    52    14 167.1 181.1  23.1    77    58    57 175.1 145.2   111 
#> 23.81 15.45 10.42 12.89 15.55 16.46 16.92  7.27 19.34 14.46 21.91 10.07 17.45 
#>  97.1 145.3    55  24.1   164    15   166 171.1 197.1  56.1   187    49   107 
#> 19.14 10.07 19.34 23.89 23.60 22.68 19.98 16.57 21.60 12.21  9.92 12.19 11.18 
#>   184 170.1   125  57.1  23.2 113.1    70  90.1 166.1 134.1  45.1  13.1   123 
#> 17.77 19.54 15.65 14.46 16.92 22.86  7.38 20.94 19.98 17.81 17.42 14.34 13.00 
#>   193   126    87   151    33   131    84     2   146   160    72   116   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94   144  33.1    65   161   121   152  94.1   2.1   176 146.1   174   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1   198   120   142    35    34    19   163    47 142.1 176.1    82 152.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1   196 102.1  94.2     9   165 163.1 160.1 163.2   112   143  47.1 174.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48  34.1  33.2    28 151.1    44  34.2   9.1   156  65.2  94.3    17 131.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.3  28.1  28.2     1   172    21    12   1.1  34.3    20   119 143.1 146.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95    27   132   137   103    83  17.1   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[29]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003318716               0.228517960               0.177714904 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.307595217             0.002947016             0.133493417 
#>   grade_iii, Cure model 
#>             0.986930096 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 123   13.00      1  44        1         0
#> 180   14.82      1  37        0         0
#> 155   13.08      1  26        0         0
#> 106   16.67      1  49        1         0
#> 41    18.02      1  40        1         0
#> 155.1 13.08      1  26        0         0
#> 29    15.45      1  68        1         0
#> 13    14.34      1  54        0         1
#> 26    15.77      1  49        0         1
#> 164   23.60      1  76        0         1
#> 6     15.64      1  39        0         0
#> 77     7.27      1  67        0         1
#> 157   15.10      1  47        0         0
#> 85    16.44      1  36        0         0
#> 99    21.19      1  38        0         1
#> 57    14.46      1  45        0         1
#> 58    19.34      1  39        0         0
#> 128   20.35      1  35        0         1
#> 13.1  14.34      1  54        0         1
#> 129   23.41      1  53        1         0
#> 23    16.92      1  61        0         0
#> 63    22.77      1  31        1         0
#> 26.1  15.77      1  49        0         1
#> 159   10.55      1  50        0         1
#> 90    20.94      1  50        0         1
#> 29.1  15.45      1  68        1         0
#> 177   12.53      1  75        0         0
#> 123.1 13.00      1  44        1         0
#> 79    16.23      1  54        1         0
#> 40    18.00      1  28        1         0
#> 5     16.43      1  51        0         1
#> 190   20.81      1  42        1         0
#> 42    12.43      1  49        0         1
#> 25     6.32      1  34        1         0
#> 4     17.64      1  NA        0         1
#> 134   17.81      1  47        1         0
#> 175   21.91      1  43        0         0
#> 92    22.92      1  47        0         1
#> 4.1   17.64      1  NA        0         1
#> 40.1  18.00      1  28        1         0
#> 61    10.12      1  36        0         1
#> 180.1 14.82      1  37        0         0
#> 170   19.54      1  43        0         1
#> 63.1  22.77      1  31        1         0
#> 16     8.71      1  71        0         1
#> 37    12.52      1  57        1         0
#> 51    18.23      1  83        0         1
#> 153   21.33      1  55        1         0
#> 99.1  21.19      1  38        0         1
#> 14    12.89      1  21        0         0
#> 43    12.10      1  61        0         1
#> 166   19.98      1  48        0         0
#> 26.2  15.77      1  49        0         1
#> 101    9.97      1  10        0         1
#> 43.1  12.10      1  61        0         1
#> 145   10.07      1  65        1         0
#> 77.1   7.27      1  67        0         1
#> 136   21.83      1  43        0         1
#> 39    15.59      1  37        0         1
#> 105   19.75      1  60        0         0
#> 14.1  12.89      1  21        0         0
#> 81    14.06      1  34        0         0
#> 59    10.16      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 49    12.19      1  48        1         0
#> 183    9.24      1  67        1         0
#> 90.1  20.94      1  50        0         1
#> 42.1  12.43      1  49        0         1
#> 29.2  15.45      1  68        1         0
#> 189   10.51      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 91     5.33      1  61        0         1
#> 134.1 17.81      1  47        1         0
#> 128.1 20.35      1  35        0         1
#> 188   16.16      1  46        0         1
#> 88    18.37      1  47        0         0
#> 5.1   16.43      1  51        0         1
#> 70     7.38      1  30        1         0
#> 81.1  14.06      1  34        0         0
#> 157.1 15.10      1  47        0         0
#> 111   17.45      1  47        0         1
#> 79.1  16.23      1  54        1         0
#> 125   15.65      1  67        1         0
#> 133   14.65      1  57        0         0
#> 40.2  18.00      1  28        1         0
#> 168   23.72      1  70        0         0
#> 37.1  12.52      1  57        1         0
#> 89    11.44      1  NA        0         0
#> 177.1 12.53      1  75        0         0
#> 24    23.89      1  38        0         0
#> 184   17.77      1  38        0         0
#> 59.1  10.16      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 171   16.57      1  41        0         1
#> 100   16.07      1  60        0         0
#> 24.1  23.89      1  38        0         0
#> 10    10.53      1  34        0         0
#> 170.1 19.54      1  43        0         1
#> 61.1  10.12      1  36        0         1
#> 57.1  14.46      1  45        0         1
#> 55    19.34      1  69        0         1
#> 192.1 16.44      1  31        1         0
#> 199   19.81      1  NA        0         1
#> 175.1 21.91      1  43        0         0
#> 114   13.68      1  NA        0         0
#> 37.2  12.52      1  57        1         0
#> 92.1  22.92      1  47        0         1
#> 18    15.21      1  49        1         0
#> 4.2   17.64      1  NA        0         1
#> 10.1  10.53      1  34        0         0
#> 150   20.33      1  48        0         0
#> 136.1 21.83      1  43        0         1
#> 1     24.00      0  23        1         0
#> 163   24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 95    24.00      0  68        0         1
#> 22    24.00      0  52        1         0
#> 35    24.00      0  51        0         0
#> 147   24.00      0  76        1         0
#> 142   24.00      0  53        0         0
#> 141   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 185   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 1.1   24.00      0  23        1         0
#> 147.1 24.00      0  76        1         0
#> 146   24.00      0  63        1         0
#> 83    24.00      0   6        0         0
#> 156   24.00      0  50        1         0
#> 27    24.00      0  63        1         0
#> 54    24.00      0  53        1         0
#> 116   24.00      0  58        0         1
#> 119   24.00      0  17        0         0
#> 27.1  24.00      0  63        1         0
#> 31    24.00      0  36        0         1
#> 35.1  24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 147.2 24.00      0  76        1         0
#> 34    24.00      0  36        0         0
#> 87    24.00      0  27        0         0
#> 147.3 24.00      0  76        1         0
#> 144   24.00      0  28        0         1
#> 83.1  24.00      0   6        0         0
#> 186   24.00      0  45        1         0
#> 163.1 24.00      0  66        0         0
#> 35.2  24.00      0  51        0         0
#> 198   24.00      0  66        0         1
#> 119.1 24.00      0  17        0         0
#> 98    24.00      0  34        1         0
#> 74    24.00      0  43        0         1
#> 87.1  24.00      0  27        0         0
#> 95.1  24.00      0  68        0         1
#> 102   24.00      0  49        0         0
#> 1.2   24.00      0  23        1         0
#> 120   24.00      0  68        0         1
#> 162   24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 173   24.00      0  19        0         1
#> 173.1 24.00      0  19        0         1
#> 162.1 24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 137.1 24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 196   24.00      0  19        0         0
#> 22.1  24.00      0  52        1         0
#> 176   24.00      0  43        0         1
#> 196.1 24.00      0  19        0         0
#> 193   24.00      0  45        0         1
#> 31.1  24.00      0  36        0         1
#> 161   24.00      0  45        0         0
#> 54.1  24.00      0  53        1         0
#> 1.3   24.00      0  23        1         0
#> 47    24.00      0  38        0         1
#> 132   24.00      0  55        0         0
#> 165   24.00      0  47        0         0
#> 198.1 24.00      0  66        0         1
#> 172   24.00      0  41        0         0
#> 165.1 24.00      0  47        0         0
#> 165.2 24.00      0  47        0         0
#> 67    24.00      0  25        0         0
#> 165.3 24.00      0  47        0         0
#> 28    24.00      0  67        1         0
#> 38    24.00      0  31        1         0
#> 163.2 24.00      0  66        0         0
#> 95.2  24.00      0  68        0         1
#> 196.2 24.00      0  19        0         0
#> 131   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 87.2  24.00      0  27        0         0
#> 94    24.00      0  51        0         1
#> 118   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 62    24.00      0  71        0         0
#> 132.1 24.00      0  55        0         0
#> 186.1 24.00      0  45        1         0
#> 83.2  24.00      0   6        0         0
#> 65    24.00      0  57        1         0
#> 121   24.00      0  57        1         0
#> 71    24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.308          NA        NA      NA
#> 2 age, Cure model          0.00295        NA        NA      NA
#> 3 grade_ii, Cure model     0.133          NA        NA      NA
#> 4 grade_iii, Cure model    0.987          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00332        NA        NA      NA
#> 2 grade_ii, Survival model   0.229          NA        NA      NA
#> 3 grade_iii, Survival model  0.178          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.307595          0.002947          0.133493          0.986930  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 253.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.307595217      0.002947016      0.133493417      0.986930096 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003318716      0.228517960      0.177714904 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.78427717 0.69743675 0.76865364 0.50227031 0.41790681 0.76865364
#>   [7] 0.64910261 0.73731031 0.59896017 0.08445328 0.63238511 0.97139868
#>  [13] 0.68138105 0.52053134 0.24908181 0.72147465 0.37793703 0.30472804
#>  [19] 0.73731031 0.10287708 0.49302909 0.14834705 0.59896017 0.89068963
#>  [25] 0.27177972 0.64910261 0.81522239 0.78427717 0.56446231 0.42773495
#>  [31] 0.54694447 0.29372741 0.85323935 0.98570630 0.45583058 0.17490540
#>  [37] 0.11980157 0.42773495 0.92032552 0.69743675 0.35762408 0.14834705
#>  [43] 0.95691165 0.83060178 0.40797707 0.22562715 0.24908181 0.79976058
#>  [49] 0.87581748 0.33648508 0.59896017 0.94231503 0.87581748 0.93498739
#>  [55] 0.97139868 0.20086769 0.64076297 0.34709002 0.79976058 0.75300145
#>  [61] 0.52053134 0.86829020 0.94962932 0.27177972 0.85323935 0.64910261
#>  [67] 0.22562715 0.99286505 0.45583058 0.30472804 0.58171074 0.39790683
#>  [73] 0.54694447 0.96416573 0.75300145 0.68138105 0.48374884 0.56446231
#>  [79] 0.62399188 0.71344432 0.42773495 0.06362068 0.83060178 0.81522239
#>  [85] 0.02634878 0.47439754 0.91292418 0.51143086 0.59034933 0.02634878
#>  [91] 0.89813142 0.35762408 0.92032552 0.72147465 0.37793703 0.52053134
#>  [97] 0.17490540 0.83060178 0.11980157 0.67327291 0.89813142 0.32582213
#> [103] 0.20086769 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   123   180   155   106    41 155.1    29    13    26   164     6    77   157 
#> 13.00 14.82 13.08 16.67 18.02 13.08 15.45 14.34 15.77 23.60 15.64  7.27 15.10 
#>    85    99    57    58   128  13.1   129    23    63  26.1   159    90  29.1 
#> 16.44 21.19 14.46 19.34 20.35 14.34 23.41 16.92 22.77 15.77 10.55 20.94 15.45 
#>   177 123.1    79    40     5   190    42    25   134   175    92  40.1    61 
#> 12.53 13.00 16.23 18.00 16.43 20.81 12.43  6.32 17.81 21.91 22.92 18.00 10.12 
#> 180.1   170  63.1    16    37    51   153  99.1    14    43   166  26.2   101 
#> 14.82 19.54 22.77  8.71 12.52 18.23 21.33 21.19 12.89 12.10 19.98 15.77  9.97 
#>  43.1   145  77.1   136    39   105  14.1    81   192    49   183  90.1  42.1 
#> 12.10 10.07  7.27 21.83 15.59 19.75 12.89 14.06 16.44 12.19  9.24 20.94 12.43 
#>  29.2 153.1    91 134.1 128.1   188    88   5.1    70  81.1 157.1   111  79.1 
#> 15.45 21.33  5.33 17.81 20.35 16.16 18.37 16.43  7.38 14.06 15.10 17.45 16.23 
#>   125   133  40.2   168  37.1 177.1    24   184    52   171   100  24.1    10 
#> 15.65 14.65 18.00 23.72 12.52 12.53 23.89 17.77 10.42 16.57 16.07 23.89 10.53 
#> 170.1  61.1  57.1    55 192.1 175.1  37.2  92.1    18  10.1   150 136.1     1 
#> 19.54 10.12 14.46 19.34 16.44 21.91 12.52 22.92 15.21 10.53 20.33 21.83 24.00 
#>   163    80    95    22    35   147   142   141   185     9   1.1 147.1   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83   156    27    54   116   119  27.1    31  35.1   148 147.2    34    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.3   144  83.1   186 163.1  35.2   198 119.1    98    74  87.1  95.1   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.2   120   162   137   173 173.1 162.1    84 137.1    48   135   196  22.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176 196.1   193  31.1   161  54.1   1.3    47   132   165 198.1   172 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.2    67 165.3    28    38 163.2  95.2 196.2   131   104  87.2    94   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46    62 132.1 186.1  83.2    65   121    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[30]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0006489141              0.0810550367             -0.2126993182 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.43449069              0.02293295              0.34902328 
#>   grade_iii, Cure model 
#>              0.93497182 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 150   20.33      1  48        0         0
#> 192   16.44      1  31        1         0
#> 167   15.55      1  56        1         0
#> 69    23.23      1  25        0         1
#> 106   16.67      1  49        1         0
#> 37    12.52      1  57        1         0
#> 14    12.89      1  21        0         0
#> 113   22.86      1  34        0         0
#> 117   17.46      1  26        0         1
#> 140   12.68      1  59        1         0
#> 167.1 15.55      1  56        1         0
#> 99    21.19      1  38        0         1
#> 130   16.47      1  53        0         1
#> 55    19.34      1  69        0         1
#> 155   13.08      1  26        0         0
#> 39    15.59      1  37        0         1
#> 136   21.83      1  43        0         1
#> 192.1 16.44      1  31        1         0
#> 195   11.76      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 136.1 21.83      1  43        0         1
#> 150.1 20.33      1  48        0         0
#> 30    17.43      1  78        0         0
#> 79    16.23      1  54        1         0
#> 43    12.10      1  61        0         1
#> 14.1  12.89      1  21        0         0
#> 129   23.41      1  53        1         0
#> 187    9.92      1  39        1         0
#> 164   23.60      1  76        0         1
#> 66    22.13      1  53        0         0
#> 136.2 21.83      1  43        0         1
#> 129.1 23.41      1  53        1         0
#> 177   12.53      1  75        0         0
#> 4     17.64      1  NA        0         1
#> 4.1   17.64      1  NA        0         1
#> 194   22.40      1  38        0         1
#> 159   10.55      1  50        0         1
#> 70     7.38      1  30        1         0
#> 91     5.33      1  61        0         1
#> 170   19.54      1  43        0         1
#> 52    10.42      1  52        0         1
#> 129.2 23.41      1  53        1         0
#> 76    19.22      1  54        0         1
#> 114   13.68      1  NA        0         0
#> 77     7.27      1  67        0         1
#> 63    22.77      1  31        1         0
#> 76.1  19.22      1  54        0         1
#> 18    15.21      1  49        1         0
#> 134   17.81      1  47        1         0
#> 127    3.53      1  62        0         1
#> 86    23.81      1  58        0         1
#> 50    10.02      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 85    16.44      1  36        0         0
#> 106.1 16.67      1  49        1         0
#> 23    16.92      1  61        0         0
#> 41    18.02      1  40        1         0
#> 167.2 15.55      1  56        1         0
#> 149    8.37      1  33        1         0
#> 157   15.10      1  47        0         0
#> 91.1   5.33      1  61        0         1
#> 93    10.33      1  52        0         1
#> 114.1 13.68      1  NA        0         0
#> 164.1 23.60      1  76        0         1
#> 189   10.51      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 63.1  22.77      1  31        1         0
#> 29    15.45      1  68        1         0
#> 56    12.21      1  60        0         0
#> 123   13.00      1  44        1         0
#> 79.1  16.23      1  54        1         0
#> 77.1   7.27      1  67        0         1
#> 93.1  10.33      1  52        0         1
#> 107   11.18      1  54        1         0
#> 181   16.46      1  45        0         1
#> 92    22.92      1  47        0         1
#> 4.2   17.64      1  NA        0         1
#> 127.1  3.53      1  62        0         1
#> 51    18.23      1  83        0         1
#> 199   19.81      1  NA        0         1
#> 97    19.14      1  65        0         1
#> 150.2 20.33      1  48        0         0
#> 92.1  22.92      1  47        0         1
#> 76.2  19.22      1  54        0         1
#> 79.2  16.23      1  54        1         0
#> 6     15.64      1  39        0         0
#> 92.2  22.92      1  47        0         1
#> 55.1  19.34      1  69        0         1
#> 133   14.65      1  57        0         0
#> 61    10.12      1  36        0         1
#> 52.1  10.42      1  52        0         1
#> 13    14.34      1  54        0         1
#> 111.1 17.45      1  47        0         1
#> 199.1 19.81      1  NA        0         1
#> 136.3 21.83      1  43        0         1
#> 192.2 16.44      1  31        1         0
#> 15    22.68      1  48        0         0
#> 55.2  19.34      1  69        0         1
#> 6.1   15.64      1  39        0         0
#> 16     8.71      1  71        0         1
#> 154   12.63      1  20        1         0
#> 89    11.44      1  NA        0         0
#> 99.1  21.19      1  38        0         1
#> 92.3  22.92      1  47        0         1
#> 93.2  10.33      1  52        0         1
#> 29.1  15.45      1  68        1         0
#> 106.2 16.67      1  49        1         0
#> 189.1 10.51      1  NA        1         0
#> 117.1 17.46      1  26        0         1
#> 45    17.42      1  54        0         1
#> 105   19.75      1  60        0         0
#> 188   16.16      1  46        0         1
#> 172   24.00      0  41        0         0
#> 193   24.00      0  45        0         1
#> 144   24.00      0  28        0         1
#> 35    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 173   24.00      0  19        0         1
#> 137   24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 151   24.00      0  42        0         0
#> 152   24.00      0  36        0         1
#> 131.1 24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 118   24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 17.1  24.00      0  38        0         1
#> 84    24.00      0  39        0         1
#> 115   24.00      0  NA        1         0
#> 98    24.00      0  34        1         0
#> 28    24.00      0  67        1         0
#> 22    24.00      0  52        1         0
#> 12    24.00      0  63        0         0
#> 186   24.00      0  45        1         0
#> 28.1  24.00      0  67        1         0
#> 17.2  24.00      0  38        0         1
#> 120   24.00      0  68        0         1
#> 148   24.00      0  61        1         0
#> 82    24.00      0  34        0         0
#> 48    24.00      0  31        1         0
#> 185.1 24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 84.1  24.00      0  39        0         1
#> 151.1 24.00      0  42        0         0
#> 34    24.00      0  36        0         0
#> 47    24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 193.1 24.00      0  45        0         1
#> 3     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 71    24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 147   24.00      0  76        1         0
#> 34.1  24.00      0  36        0         0
#> 119.1 24.00      0  17        0         0
#> 191   24.00      0  60        0         1
#> 31    24.00      0  36        0         1
#> 104   24.00      0  50        1         0
#> 116   24.00      0  58        0         1
#> 47.1  24.00      0  38        0         1
#> 53    24.00      0  32        0         1
#> 162   24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 137.1 24.00      0  45        1         0
#> 11    24.00      0  42        0         1
#> 3.1   24.00      0  31        1         0
#> 53.1  24.00      0  32        0         1
#> 162.1 24.00      0  51        0         0
#> 147.1 24.00      0  76        1         0
#> 143   24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 147.2 24.00      0  76        1         0
#> 53.2  24.00      0  32        0         1
#> 98.1  24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 141   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 185.2 24.00      0  44        1         0
#> 98.2  24.00      0  34        1         0
#> 165   24.00      0  47        0         0
#> 27    24.00      0  63        1         0
#> 12.1  24.00      0  63        0         0
#> 131.2 24.00      0  66        0         0
#> 34.2  24.00      0  36        0         0
#> 120.1 24.00      0  68        0         1
#> 137.2 24.00      0  45        1         0
#> 104.1 24.00      0  50        1         0
#> 47.2  24.00      0  38        0         1
#> 9     24.00      0  31        1         0
#> 143.1 24.00      0  51        0         0
#> 173.1 24.00      0  19        0         1
#> 2     24.00      0   9        0         0
#> 54    24.00      0  53        1         0
#> 143.2 24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 54.1  24.00      0  53        1         0
#> 82.1  24.00      0  34        0         0
#> 53.3  24.00      0  32        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.43          NA        NA      NA
#> 2 age, Cure model           0.0229        NA        NA      NA
#> 3 grade_ii, Cure model      0.349         NA        NA      NA
#> 4 grade_iii, Cure model     0.935         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000649        NA        NA      NA
#> 2 grade_ii, Survival model   0.0811          NA        NA      NA
#> 3 grade_iii, Survival model -0.213           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.43449           0.02293           0.34902           0.93497  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.6 
#> Residual Deviance: 243.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.43449069       0.02293295       0.34902328       0.93497182 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0006489141     0.0810550367    -0.2126993182 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.209475024 0.484711333 0.600420759 0.050854025 0.431899028 0.771224772
#>   [7] 0.717682104 0.091346758 0.357994629 0.739019371 0.600420759 0.190370475
#>  [13] 0.463196879 0.257237794 0.696183795 0.589656611 0.154795335 0.484711333
#>  [19] 0.154795335 0.209475024 0.399775835 0.526281358 0.792689595 0.717682104
#>  [25] 0.029358828 0.889952807 0.012386503 0.145524217 0.154795335 0.029358828
#>  [31] 0.760488448 0.136273216 0.814218290 0.922885031 0.955793476 0.247371591
#>  [37] 0.825010253 0.029358828 0.286452481 0.933858886 0.100593403 0.286452481
#>  [43] 0.653308864 0.347582371 0.977840902 0.003428593 0.127153215 0.484711333
#>  [49] 0.431899028 0.421163830 0.337153938 0.600420759 0.911902883 0.664011398
#>  [55] 0.955793476 0.846575463 0.012386503 0.378760749 0.100593403 0.632061705
#>  [61] 0.781954370 0.706937353 0.526281358 0.933858886 0.846575463 0.803457336
#>  [67] 0.473927870 0.059668242 0.977840902 0.326707229 0.316338123 0.209475024
#>  [73] 0.059668242 0.286452481 0.526281358 0.568405836 0.059668242 0.257237794
#>  [79] 0.674719119 0.878985270 0.825010253 0.685433018 0.378760749 0.154795335
#>  [85] 0.484711333 0.118052681 0.257237794 0.568405836 0.900912603 0.749759321
#>  [91] 0.190370475 0.059668242 0.846575463 0.632061705 0.431899028 0.357994629
#>  [97] 0.410439256 0.237588865 0.557689391 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   150   192   167    69   106    37    14   113   117   140 167.1    99   130 
#> 20.33 16.44 15.55 23.23 16.67 12.52 12.89 22.86 17.46 12.68 15.55 21.19 16.47 
#>    55   155    39   136 192.1 136.1 150.1    30    79    43  14.1   129   187 
#> 19.34 13.08 15.59 21.83 16.44 21.83 20.33 17.43 16.23 12.10 12.89 23.41  9.92 
#>   164    66 136.2 129.1   177   194   159    70    91   170    52 129.2    76 
#> 23.60 22.13 21.83 23.41 12.53 22.40 10.55  7.38  5.33 19.54 10.42 23.41 19.22 
#>    77    63  76.1    18   134   127    86   169    85 106.1    23    41 167.2 
#>  7.27 22.77 19.22 15.21 17.81  3.53 23.81 22.41 16.44 16.67 16.92 18.02 15.55 
#>   149   157  91.1    93 164.1   111  63.1    29    56   123  79.1  77.1  93.1 
#>  8.37 15.10  5.33 10.33 23.60 17.45 22.77 15.45 12.21 13.00 16.23  7.27 10.33 
#>   107   181    92 127.1    51    97 150.2  92.1  76.2  79.2     6  92.2  55.1 
#> 11.18 16.46 22.92  3.53 18.23 19.14 20.33 22.92 19.22 16.23 15.64 22.92 19.34 
#>   133    61  52.1    13 111.1 136.3 192.2    15  55.2   6.1    16   154  99.1 
#> 14.65 10.12 10.42 14.34 17.45 21.83 16.44 22.68 19.34 15.64  8.71 12.63 21.19 
#>  92.3  93.2  29.1 106.2 117.1    45   105   188   172   193   144    35    17 
#> 22.92 10.33 15.45 16.67 17.46 17.42 19.75 16.16 24.00 24.00 24.00 24.00 24.00 
#>   173   137   131    94   151   152 131.1   176   118   185   119  17.1    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98    28    22    12   186  28.1  17.2   120   148    82    48 185.1   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.1 151.1    34    47   182 193.1     3    71    21   147  34.1 119.1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   104   116  47.1    53   162     1 137.1    11   3.1  53.1 162.1 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143   163 147.2  53.2  98.1   174   141   112 185.2  98.2   165    27  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.2  34.2 120.1 137.2 104.1  47.2     9 143.1 173.1     2    54 143.2   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.1  82.1  53.3 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[31]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02314144                0.76455227                0.36859930 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.03516461             -0.00685400              0.05516369 
#>   grade_iii, Cure model 
#>              1.85700255 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 76    19.22      1  54        0         1
#> 59    10.16      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 180   14.82      1  37        0         0
#> 4     17.64      1  NA        0         1
#> 96    14.54      1  33        0         1
#> 90    20.94      1  50        0         1
#> 171   16.57      1  41        0         1
#> 76.1  19.22      1  54        0         1
#> 175   21.91      1  43        0         0
#> 123   13.00      1  44        1         0
#> 6     15.64      1  39        0         0
#> 139   21.49      1  63        1         0
#> 100   16.07      1  60        0         0
#> 15    22.68      1  48        0         0
#> 150   20.33      1  48        0         0
#> 145   10.07      1  65        1         0
#> 164   23.60      1  76        0         1
#> 45    17.42      1  54        0         1
#> 43    12.10      1  61        0         1
#> 187    9.92      1  39        1         0
#> 108   18.29      1  39        0         1
#> 113   22.86      1  34        0         0
#> 192   16.44      1  31        1         0
#> 59.1  10.16      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 61    10.12      1  36        0         1
#> 139.1 21.49      1  63        1         0
#> 108.1 18.29      1  39        0         1
#> 77     7.27      1  67        0         1
#> 81    14.06      1  34        0         0
#> 90.1  20.94      1  50        0         1
#> 187.1  9.92      1  39        1         0
#> 105   19.75      1  60        0         0
#> 42    12.43      1  49        0         1
#> 105.1 19.75      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 157   15.10      1  47        0         0
#> 61.1  10.12      1  36        0         1
#> 70     7.38      1  30        1         0
#> 157.1 15.10      1  47        0         0
#> 26    15.77      1  49        0         1
#> 52    10.42      1  52        0         1
#> 10    10.53      1  34        0         0
#> 49    12.19      1  48        1         0
#> 78    23.88      1  43        0         0
#> 40    18.00      1  28        1         0
#> 99    21.19      1  38        0         1
#> 68    20.62      1  44        0         0
#> 6.1   15.64      1  39        0         0
#> 81.1  14.06      1  34        0         0
#> 91     5.33      1  61        0         1
#> 187.2  9.92      1  39        1         0
#> 155   13.08      1  26        0         0
#> 14    12.89      1  21        0         0
#> 127    3.53      1  62        0         1
#> 150.1 20.33      1  48        0         0
#> 195   11.76      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 105.2 19.75      1  60        0         0
#> 77.1   7.27      1  67        0         1
#> 90.2  20.94      1  50        0         1
#> 60    13.15      1  38        1         0
#> 79    16.23      1  54        1         0
#> 26.1  15.77      1  49        0         1
#> 32    20.90      1  37        1         0
#> 194   22.40      1  38        0         1
#> 188   16.16      1  46        0         1
#> 39    15.59      1  37        0         1
#> 140   12.68      1  59        1         0
#> 179   18.63      1  42        0         0
#> 50    10.02      1  NA        1         0
#> 42.1  12.43      1  49        0         1
#> 42.2  12.43      1  49        0         1
#> 197.1 21.60      1  69        1         0
#> 108.2 18.29      1  39        0         1
#> 93    10.33      1  52        0         1
#> 154   12.63      1  20        1         0
#> 15.1  22.68      1  48        0         0
#> 167   15.55      1  56        1         0
#> 189.1 10.51      1  NA        1         0
#> 136.1 21.83      1  43        0         1
#> 189.2 10.51      1  NA        1         0
#> 100.1 16.07      1  60        0         0
#> 25.1   6.32      1  34        1         0
#> 86    23.81      1  58        0         1
#> 32.1  20.90      1  37        1         0
#> 133   14.65      1  57        0         0
#> 93.1  10.33      1  52        0         1
#> 14.1  12.89      1  21        0         0
#> 6.2   15.64      1  39        0         0
#> 187.3  9.92      1  39        1         0
#> 117.1 17.46      1  26        0         1
#> 106   16.67      1  49        1         0
#> 96.1  14.54      1  33        0         1
#> 149    8.37      1  33        1         0
#> 123.1 13.00      1  44        1         0
#> 113.1 22.86      1  34        0         0
#> 155.1 13.08      1  26        0         0
#> 66    22.13      1  53        0         0
#> 26.2  15.77      1  49        0         1
#> 149.1  8.37      1  33        1         0
#> 105.3 19.75      1  60        0         0
#> 4.1   17.64      1  NA        0         1
#> 13    14.34      1  54        0         1
#> 96.2  14.54      1  33        0         1
#> 101    9.97      1  10        0         1
#> 51    18.23      1  83        0         1
#> 56    12.21      1  60        0         0
#> 190   20.81      1  42        1         0
#> 164.1 23.60      1  76        0         1
#> 2     24.00      0   9        0         0
#> 200   24.00      0  64        0         0
#> 34    24.00      0  36        0         0
#> 47    24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 34.1  24.00      0  36        0         0
#> 156   24.00      0  50        1         0
#> 172   24.00      0  41        0         0
#> 75    24.00      0  21        1         0
#> 82    24.00      0  34        0         0
#> 62    24.00      0  71        0         0
#> 165   24.00      0  47        0         0
#> 163   24.00      0  66        0         0
#> 7     24.00      0  37        1         0
#> 121   24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 143.1 24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 174   24.00      0  49        1         0
#> 174.1 24.00      0  49        1         0
#> 137   24.00      0  45        1         0
#> 44    24.00      0  56        0         0
#> 67    24.00      0  25        0         0
#> 11    24.00      0  42        0         1
#> 2.1   24.00      0   9        0         0
#> 34.2  24.00      0  36        0         0
#> 178   24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 151   24.00      0  42        0         0
#> 80    24.00      0  41        0         0
#> 102   24.00      0  49        0         0
#> 178.1 24.00      0  52        1         0
#> 163.1 24.00      0  66        0         0
#> 44.1  24.00      0  56        0         0
#> 186   24.00      0  45        1         0
#> 82.1  24.00      0  34        0         0
#> 27    24.00      0  63        1         0
#> 186.1 24.00      0  45        1         0
#> 103   24.00      0  56        1         0
#> 131   24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 109   24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 35    24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 198   24.00      0  66        0         1
#> 160   24.00      0  31        1         0
#> 156.1 24.00      0  50        1         0
#> 120   24.00      0  68        0         1
#> 178.2 24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 82.2  24.00      0  34        0         0
#> 146.1 24.00      0  63        1         0
#> 84    24.00      0  39        0         1
#> 186.2 24.00      0  45        1         0
#> 200.1 24.00      0  64        0         0
#> 102.1 24.00      0  49        0         0
#> 142   24.00      0  53        0         0
#> 122   24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 102.2 24.00      0  49        0         0
#> 27.1  24.00      0  63        1         0
#> 156.2 24.00      0  50        1         0
#> 126.1 24.00      0  48        0         0
#> 115   24.00      0  NA        1         0
#> 131.1 24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 48    24.00      0  31        1         0
#> 1.1   24.00      0  23        1         0
#> 178.3 24.00      0  52        1         0
#> 174.2 24.00      0  49        1         0
#> 103.1 24.00      0  56        1         0
#> 35.1  24.00      0  51        0         0
#> 87.1  24.00      0  27        0         0
#> 141   24.00      0  44        1         0
#> 54    24.00      0  53        1         0
#> 83.1  24.00      0   6        0         0
#> 3     24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 115.1 24.00      0  NA        1         0
#> 121.1 24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 11.1  24.00      0  42        0         1
#> 109.1 24.00      0  48        0         0
#> 131.2 24.00      0  66        0         0
#> 146.2 24.00      0  63        1         0
#> 47.1  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0352         NA        NA      NA
#> 2 age, Cure model         -0.00685        NA        NA      NA
#> 3 grade_ii, Cure model     0.0552         NA        NA      NA
#> 4 grade_iii, Cure model    1.86           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0231        NA        NA      NA
#> 2 grade_ii, Survival model    0.765         NA        NA      NA
#> 3 grade_iii, Survival model   0.369         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.035165         -0.006854          0.055164          1.857003  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 235.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.03516461      -0.00685400       0.05516369       1.85700255 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02314144       0.76455227       0.36859930 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 8.842593e-02 9.065742e-03 3.381093e-01 3.623420e-01 2.827094e-02
#>   [6] 1.785460e-01 8.842593e-02 7.094129e-03 4.786828e-01 2.614706e-01
#>  [11] 1.864365e-02 2.134950e-01 1.986094e-03 5.629205e-02 7.479887e-01
#>  [16] 1.576724e-04 1.617744e-01 6.362783e-01 7.813709e-01 1.086154e-01
#>  [21] 7.854961e-04 1.871755e-01 1.337122e-02 7.153041e-01 1.864365e-02
#>  [26] 1.086154e-01 8.966796e-01 4.119877e-01 2.827094e-02 7.813709e-01
#>  [31] 6.594435e-02 5.626835e-01 6.594435e-02 1.460208e-01 3.150676e-01
#>  [36] 7.153041e-01 8.799028e-01 3.150676e-01 2.321720e-01 6.673292e-01
#>  [41] 6.517030e-01 6.210920e-01 2.766612e-06 1.381027e-01 2.479255e-02
#>  [46] 5.178362e-02 2.614706e-01 4.119877e-01 9.649403e-01 7.813709e-01
#>  [51] 4.516163e-01 5.060970e-01 9.823676e-01 5.629205e-02 9.307961e-01
#>  [56] 6.594435e-02 8.966796e-01 2.827094e-02 4.382422e-01 1.957859e-01
#>  [61] 2.321720e-01 3.948419e-02 4.041966e-03 2.045443e-01 2.928618e-01
#>  [66] 5.340951e-01 1.015385e-01 5.626835e-01 5.626835e-01 1.337122e-02
#>  [71] 1.086154e-01 6.831653e-01 5.484549e-01 1.986094e-03 3.038811e-01
#>  [76] 9.065742e-03 2.134950e-01 9.307961e-01 4.137057e-05 3.948419e-02
#>  [81] 3.500721e-01 6.831653e-01 5.060970e-01 2.614706e-01 7.813709e-01
#>  [86] 1.460208e-01 1.700963e-01 3.623420e-01 8.466234e-01 4.786828e-01
#>  [91] 7.854961e-04 4.516163e-01 5.417217e-03 2.321720e-01 8.466234e-01
#>  [96] 6.594435e-02 3.990993e-01 3.623420e-01 7.647065e-01 1.301283e-01
#> [101] 6.060136e-01 4.751278e-02 1.576724e-04 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    76   136   180    96    90   171  76.1   175   123     6   139   100    15 
#> 19.22 21.83 14.82 14.54 20.94 16.57 19.22 21.91 13.00 15.64 21.49 16.07 22.68 
#>   150   145   164    45    43   187   108   113   192   197    61 139.1 108.1 
#> 20.33 10.07 23.60 17.42 12.10  9.92 18.29 22.86 16.44 21.60 10.12 21.49 18.29 
#>    77    81  90.1 187.1   105    42 105.1   117   157  61.1    70 157.1    26 
#>  7.27 14.06 20.94  9.92 19.75 12.43 19.75 17.46 15.10 10.12  7.38 15.10 15.77 
#>    52    10    49    78    40    99    68   6.1  81.1    91 187.2   155    14 
#> 10.42 10.53 12.19 23.88 18.00 21.19 20.62 15.64 14.06  5.33  9.92 13.08 12.89 
#>   127 150.1    25 105.2  77.1  90.2    60    79  26.1    32   194   188    39 
#>  3.53 20.33  6.32 19.75  7.27 20.94 13.15 16.23 15.77 20.90 22.40 16.16 15.59 
#>   140   179  42.1  42.2 197.1 108.2    93   154  15.1   167 136.1 100.1  25.1 
#> 12.68 18.63 12.43 12.43 21.60 18.29 10.33 12.63 22.68 15.55 21.83 16.07  6.32 
#>    86  32.1   133  93.1  14.1   6.2 187.3 117.1   106  96.1   149 123.1 113.1 
#> 23.81 20.90 14.65 10.33 12.89 15.64  9.92 17.46 16.67 14.54  8.37 13.00 22.86 
#> 155.1    66  26.2 149.1 105.3    13  96.2   101    51    56   190 164.1     2 
#> 13.08 22.13 15.77  8.37 19.75 14.34 14.54  9.97 18.23 12.21 20.81 23.60 24.00 
#>   200    34    47   143     9  34.1   156   172    75    82    62   165   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7   121    53 143.1   126   174 174.1   137    44    67    11   2.1  34.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    33   151    80   102 178.1 163.1  44.1   186  82.1    27 186.1   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131     1   109    83    35   146   198   160 156.1   120 178.2    87  82.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.1    84 186.2 200.1 102.1   142   122    22 102.2  27.1 156.2 126.1 131.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46    48   1.1 178.3 174.2 103.1  35.1  87.1   141    54  83.1     3    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.1    20  11.1 109.1 131.2 146.2  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[32]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.000489906               0.154367869               0.277114109 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.106687589            -0.008100385             0.368152238 
#>   grade_iii, Cure model 
#>             1.054300733 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 166   19.98      1  48        0         0
#> 128   20.35      1  35        0         1
#> 63    22.77      1  31        1         0
#> 81    14.06      1  34        0         0
#> 60    13.15      1  38        1         0
#> 177   12.53      1  75        0         0
#> 117   17.46      1  26        0         1
#> 96    14.54      1  33        0         1
#> 4     17.64      1  NA        0         1
#> 167   15.55      1  56        1         0
#> 139   21.49      1  63        1         0
#> 125   15.65      1  67        1         0
#> 40    18.00      1  28        1         0
#> 55    19.34      1  69        0         1
#> 158   20.14      1  74        1         0
#> 188   16.16      1  46        0         1
#> 107   11.18      1  54        1         0
#> 149    8.37      1  33        1         0
#> 30    17.43      1  78        0         0
#> 57    14.46      1  45        0         1
#> 69    23.23      1  25        0         1
#> 90    20.94      1  50        0         1
#> 192   16.44      1  31        1         0
#> 4.1   17.64      1  NA        0         1
#> 57.1  14.46      1  45        0         1
#> 41    18.02      1  40        1         0
#> 195   11.76      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 6     15.64      1  39        0         0
#> 43    12.10      1  61        0         1
#> 37    12.52      1  57        1         0
#> 56    12.21      1  60        0         0
#> 154   12.63      1  20        1         0
#> 179   18.63      1  42        0         0
#> 57.2  14.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 123   13.00      1  44        1         0
#> 4.2   17.64      1  NA        0         1
#> 195.1 11.76      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 128.1 20.35      1  35        0         1
#> 139.1 21.49      1  63        1         0
#> 43.1  12.10      1  61        0         1
#> 61    10.12      1  36        0         1
#> 61.1  10.12      1  36        0         1
#> 128.2 20.35      1  35        0         1
#> 127    3.53      1  62        0         1
#> 26.1  15.77      1  49        0         1
#> 153   21.33      1  55        1         0
#> 183    9.24      1  67        1         0
#> 150   20.33      1  48        0         0
#> 14    12.89      1  21        0         0
#> 170   19.54      1  43        0         1
#> 159   10.55      1  50        0         1
#> 37.1  12.52      1  57        1         0
#> 166.1 19.98      1  48        0         0
#> 194   22.40      1  38        0         1
#> 179.1 18.63      1  42        0         0
#> 159.1 10.55      1  50        0         1
#> 37.2  12.52      1  57        1         0
#> 4.3   17.64      1  NA        0         1
#> 89    11.44      1  NA        0         0
#> 79    16.23      1  54        1         0
#> 192.1 16.44      1  31        1         0
#> 180   14.82      1  37        0         0
#> 100.1 16.07      1  60        0         0
#> 199   19.81      1  NA        0         1
#> 97    19.14      1  65        0         1
#> 63.1  22.77      1  31        1         0
#> 175   21.91      1  43        0         0
#> 125.1 15.65      1  67        1         0
#> 129   23.41      1  53        1         0
#> 154.1 12.63      1  20        1         0
#> 49    12.19      1  48        1         0
#> 56.1  12.21      1  60        0         0
#> 81.1  14.06      1  34        0         0
#> 57.3  14.46      1  45        0         1
#> 43.2  12.10      1  61        0         1
#> 108   18.29      1  39        0         1
#> 55.1  19.34      1  69        0         1
#> 108.1 18.29      1  39        0         1
#> 111   17.45      1  47        0         1
#> 101    9.97      1  10        0         1
#> 51    18.23      1  83        0         1
#> 149.1  8.37      1  33        1         0
#> 81.2  14.06      1  34        0         0
#> 40.1  18.00      1  28        1         0
#> 150.1 20.33      1  48        0         0
#> 164   23.60      1  76        0         1
#> 108.2 18.29      1  39        0         1
#> 175.1 21.91      1  43        0         0
#> 179.2 18.63      1  42        0         0
#> 184   17.77      1  38        0         0
#> 171   16.57      1  41        0         1
#> 78    23.88      1  43        0         0
#> 159.2 10.55      1  50        0         1
#> 16     8.71      1  71        0         1
#> 154.2 12.63      1  20        1         0
#> 14.1  12.89      1  21        0         0
#> 129.1 23.41      1  53        1         0
#> 136   21.83      1  43        0         1
#> 91     5.33      1  61        0         1
#> 36    21.19      1  48        0         1
#> 157   15.10      1  47        0         0
#> 199.1 19.81      1  NA        0         1
#> 105.1 19.75      1  60        0         0
#> 24    23.89      1  38        0         0
#> 181   16.46      1  45        0         1
#> 32    20.90      1  37        1         0
#> 55.2  19.34      1  69        0         1
#> 32.1  20.90      1  37        1         0
#> 43.3  12.10      1  61        0         1
#> 38    24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 135   24.00      0  58        1         0
#> 11    24.00      0  42        0         1
#> 185   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 162   24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 28    24.00      0  67        1         0
#> 82    24.00      0  34        0         0
#> 151   24.00      0  42        0         0
#> 67.1  24.00      0  25        0         0
#> 21    24.00      0  47        0         0
#> 120   24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 95.1  24.00      0  68        0         1
#> 64    24.00      0  43        0         0
#> 62    24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 47    24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 22.1  24.00      0  52        1         0
#> 34    24.00      0  36        0         0
#> 174   24.00      0  49        1         0
#> 193   24.00      0  45        0         1
#> 33    24.00      0  53        0         0
#> 28.1  24.00      0  67        1         0
#> 120.1 24.00      0  68        0         1
#> 102   24.00      0  49        0         0
#> 72    24.00      0  40        0         1
#> 31    24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 135.1 24.00      0  58        1         0
#> 1     24.00      0  23        1         0
#> 7     24.00      0  37        1         0
#> 200   24.00      0  64        0         0
#> 109   24.00      0  48        0         0
#> 46    24.00      0  71        0         0
#> 137   24.00      0  45        1         0
#> 9     24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 135.2 24.00      0  58        1         0
#> 135.3 24.00      0  58        1         0
#> 193.2 24.00      0  45        0         1
#> 34.1  24.00      0  36        0         0
#> 186   24.00      0  45        1         0
#> 115.1 24.00      0  NA        1         0
#> 142   24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 132   24.00      0  55        0         0
#> 62.1  24.00      0  71        0         0
#> 20.1  24.00      0  46        1         0
#> 156   24.00      0  50        1         0
#> 80    24.00      0  41        0         0
#> 33.1  24.00      0  53        0         0
#> 146   24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 1.1   24.00      0  23        1         0
#> 17.1  24.00      0  38        0         1
#> 165   24.00      0  47        0         0
#> 161   24.00      0  45        0         0
#> 193.3 24.00      0  45        0         1
#> 19    24.00      0  57        0         1
#> 143   24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 47.1  24.00      0  38        0         1
#> 142.1 24.00      0  53        0         0
#> 22.2  24.00      0  52        1         0
#> 186.1 24.00      0  45        1         0
#> 132.1 24.00      0  55        0         0
#> 83    24.00      0   6        0         0
#> 165.1 24.00      0  47        0         0
#> 19.1  24.00      0  57        0         1
#> 165.2 24.00      0  47        0         0
#> 104   24.00      0  50        1         0
#> 102.1 24.00      0  49        0         0
#> 163   24.00      0  66        0         0
#> 119   24.00      0  17        0         0
#> 178   24.00      0  52        1         0
#> 11.1  24.00      0  42        0         1
#> 46.1  24.00      0  71        0         0
#> 163.1 24.00      0  66        0         0
#> 160   24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 142.2 24.00      0  53        0         0
#> 22.3  24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.107          NA        NA      NA
#> 2 age, Cure model         -0.00810        NA        NA      NA
#> 3 grade_ii, Cure model     0.368          NA        NA      NA
#> 4 grade_iii, Cure model    1.05           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000490        NA        NA      NA
#> 2 grade_ii, Survival model  0.154           NA        NA      NA
#> 3 grade_iii, Survival model 0.277           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>           0.1067           -0.0081            0.3682            1.0543  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 251.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.106687589     -0.008100385      0.368152238      1.054300733 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.000489906      0.154367869      0.277114109 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.31633868 0.25556106 0.10475578 0.71986803 0.74520492 0.80423706
#>   [7] 0.50823310 0.67755476 0.65130027 0.17756913 0.62508307 0.48051119
#>  [13] 0.36691127 0.30603976 0.58088692 0.89522581 0.96805691 0.52665457
#>  [19] 0.68626563 0.09106564 0.22309091 0.55402099 0.68626563 0.47114195
#>  [25] 0.58982258 0.64252275 0.86267374 0.81268472 0.83761143 0.77914958
#>  [31] 0.40540500 0.68626563 0.60754268 0.75372966 0.33657085 0.25556106
#>  [37] 0.17756913 0.86267374 0.92771532 0.92771532 0.25556106 0.99202695
#>  [43] 0.60754268 0.20023140 0.95194230 0.28564692 0.76223590 0.35676717
#>  [49] 0.90346216 0.81268472 0.31633868 0.12927487 0.40540500 0.90346216
#>  [55] 0.81268472 0.57190298 0.55402099 0.66880556 0.58982258 0.39566570
#>  [61] 0.10475578 0.14175122 0.62508307 0.06452359 0.77914958 0.85430286
#>  [67] 0.83761143 0.71986803 0.68626563 0.86267374 0.43388581 0.36691127
#>  [73] 0.43388581 0.51747253 0.94385851 0.46173717 0.96805691 0.71986803
#>  [79] 0.48051119 0.28564692 0.04812145 0.43388581 0.14175122 0.40540500
#>  [85] 0.49893685 0.53583039 0.02947526 0.90346216 0.96001198 0.77914958
#>  [91] 0.76223590 0.06452359 0.16553034 0.98403076 0.21176922 0.66005426
#>  [97] 0.33657085 0.01104519 0.54495216 0.23421404 0.36691127 0.23421404
#> [103] 0.86267374 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   166   128    63    81    60   177   117    96   167   139   125    40    55 
#> 19.98 20.35 22.77 14.06 13.15 12.53 17.46 14.54 15.55 21.49 15.65 18.00 19.34 
#>   158   188   107   149    30    57    69    90   192  57.1    41   100     6 
#> 20.14 16.16 11.18  8.37 17.43 14.46 23.23 20.94 16.44 14.46 18.02 16.07 15.64 
#>    43    37    56   154   179  57.2    26   123   105 128.1 139.1  43.1    61 
#> 12.10 12.52 12.21 12.63 18.63 14.46 15.77 13.00 19.75 20.35 21.49 12.10 10.12 
#>  61.1 128.2   127  26.1   153   183   150    14   170   159  37.1 166.1   194 
#> 10.12 20.35  3.53 15.77 21.33  9.24 20.33 12.89 19.54 10.55 12.52 19.98 22.40 
#> 179.1 159.1  37.2    79 192.1   180 100.1    97  63.1   175 125.1   129 154.1 
#> 18.63 10.55 12.52 16.23 16.44 14.82 16.07 19.14 22.77 21.91 15.65 23.41 12.63 
#>    49  56.1  81.1  57.3  43.2   108  55.1 108.1   111   101    51 149.1  81.2 
#> 12.19 12.21 14.06 14.46 12.10 18.29 19.34 18.29 17.45  9.97 18.23  8.37 14.06 
#>  40.1 150.1   164 108.2 175.1 179.2   184   171    78 159.2    16 154.2  14.1 
#> 18.00 20.33 23.60 18.29 21.91 18.63 17.77 16.57 23.88 10.55  8.71 12.63 12.89 
#> 129.1   136    91    36   157 105.1    24   181    32  55.2  32.1  43.3    38 
#> 23.41 21.83  5.33 21.19 15.10 19.75 23.89 16.46 20.90 19.34 20.90 12.10 24.00 
#>    22   135    11   185    95    67   162   103    28    82   151  67.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120   144  95.1    64    62    47    12  22.1    34   174   193    33  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1   102    72    31   198 135.1     1     7   200   109    46   137     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1 135.2 135.3 193.2  34.1   186   142    20   132  62.1  20.1   156    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1   146    17   141   1.1  17.1   165   161 193.3    19   143    87  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1  22.2 186.1 132.1    83 165.1  19.1 165.2   104 102.1   163   119   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1  46.1 163.1   160   131 142.2  22.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[33]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004169529               0.123515411              -0.063852256 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.179248416             0.002675151            -0.016607412 
#>   grade_iii, Cure model 
#>             0.692356296 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 85    16.44      1  36        0         0
#> 110   17.56      1  65        0         1
#> 133   14.65      1  57        0         0
#> 110.1 17.56      1  65        0         1
#> 26    15.77      1  49        0         1
#> 6     15.64      1  39        0         0
#> 189   10.51      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 52    10.42      1  52        0         1
#> 52.1  10.42      1  52        0         1
#> 179   18.63      1  42        0         0
#> 180   14.82      1  37        0         0
#> 179.1 18.63      1  42        0         0
#> 49    12.19      1  48        1         0
#> 37    12.52      1  57        1         0
#> 69    23.23      1  25        0         1
#> 114   13.68      1  NA        0         0
#> 136   21.83      1  43        0         1
#> 89    11.44      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 76    19.22      1  54        0         1
#> 39    15.59      1  37        0         1
#> 56    12.21      1  60        0         0
#> 110.2 17.56      1  65        0         1
#> 124    9.73      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 85.1  16.44      1  36        0         0
#> 40    18.00      1  28        1         0
#> 42    12.43      1  49        0         1
#> 88    18.37      1  47        0         0
#> 194   22.40      1  38        0         1
#> 129   23.41      1  53        1         0
#> 199   19.81      1  NA        0         1
#> 68    20.62      1  44        0         0
#> 199.1 19.81      1  NA        0         1
#> 181   16.46      1  45        0         1
#> 110.3 17.56      1  65        0         1
#> 58    19.34      1  39        0         0
#> 175   21.91      1  43        0         0
#> 189.1 10.51      1  NA        1         0
#> 189.2 10.51      1  NA        1         0
#> 181.1 16.46      1  45        0         1
#> 5     16.43      1  51        0         1
#> 69.1  23.23      1  25        0         1
#> 190.1 20.81      1  42        1         0
#> 153   21.33      1  55        1         0
#> 88.1  18.37      1  47        0         0
#> 154   12.63      1  20        1         0
#> 26.1  15.77      1  49        0         1
#> 49.1  12.19      1  48        1         0
#> 170   19.54      1  43        0         1
#> 39.1  15.59      1  37        0         1
#> 5.1   16.43      1  51        0         1
#> 199.2 19.81      1  NA        0         1
#> 140   12.68      1  59        1         0
#> 68.1  20.62      1  44        0         0
#> 194.1 22.40      1  38        0         1
#> 149    8.37      1  33        1         0
#> 85.2  16.44      1  36        0         0
#> 136.1 21.83      1  43        0         1
#> 145   10.07      1  65        1         0
#> 85.3  16.44      1  36        0         0
#> 93    10.33      1  52        0         1
#> 6.1   15.64      1  39        0         0
#> 93.1  10.33      1  52        0         1
#> 39.2  15.59      1  37        0         1
#> 100   16.07      1  60        0         0
#> 79    16.23      1  54        1         0
#> 16     8.71      1  71        0         1
#> 45    17.42      1  54        0         1
#> 59    10.16      1  NA        1         0
#> 89.1  11.44      1  NA        0         0
#> 49.2  12.19      1  48        1         0
#> 59.1  10.16      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 39.3  15.59      1  37        0         1
#> 79.1  16.23      1  54        1         0
#> 139   21.49      1  63        1         0
#> 150   20.33      1  48        0         0
#> 189.3 10.51      1  NA        1         0
#> 175.1 21.91      1  43        0         0
#> 177   12.53      1  75        0         0
#> 113   22.86      1  34        0         0
#> 184   17.77      1  38        0         0
#> 91     5.33      1  61        0         1
#> 153.2 21.33      1  55        1         0
#> 139.1 21.49      1  63        1         0
#> 167   15.55      1  56        1         0
#> 18    15.21      1  49        1         0
#> 128   20.35      1  35        0         1
#> 81    14.06      1  34        0         0
#> 10    10.53      1  34        0         0
#> 159   10.55      1  50        0         1
#> 164   23.60      1  76        0         1
#> 145.1 10.07      1  65        1         0
#> 179.2 18.63      1  42        0         0
#> 166   19.98      1  48        0         0
#> 117   17.46      1  26        0         1
#> 86    23.81      1  58        0         1
#> 37.1  12.52      1  57        1         0
#> 123   13.00      1  44        1         0
#> 107   11.18      1  54        1         0
#> 183    9.24      1  67        1         0
#> 45.1  17.42      1  54        0         1
#> 129.1 23.41      1  53        1         0
#> 123.1 13.00      1  44        1         0
#> 40.1  18.00      1  28        1         0
#> 57    14.46      1  45        0         1
#> 175.2 21.91      1  43        0         0
#> 190.2 20.81      1  42        1         0
#> 128.1 20.35      1  35        0         1
#> 58.1  19.34      1  39        0         0
#> 115   24.00      0  NA        1         0
#> 138   24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 35    24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 80    24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 19    24.00      0  57        0         1
#> 19.1  24.00      0  57        0         1
#> 147   24.00      0  76        1         0
#> 2     24.00      0   9        0         0
#> 11.1  24.00      0  42        0         1
#> 147.1 24.00      0  76        1         0
#> 11.2  24.00      0  42        0         1
#> 135   24.00      0  58        1         0
#> 193   24.00      0  45        0         1
#> 82    24.00      0  34        0         0
#> 46    24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 138.1 24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 141   24.00      0  44        1         0
#> 54    24.00      0  53        1         0
#> 35.1  24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 152   24.00      0  36        0         1
#> 119   24.00      0  17        0         0
#> 21    24.00      0  47        0         0
#> 143   24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 12    24.00      0  63        0         0
#> 122   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 7.1   24.00      0  37        1         0
#> 20.1  24.00      0  46        1         0
#> 198   24.00      0  66        0         1
#> 132   24.00      0  55        0         0
#> 151   24.00      0  42        0         0
#> 98    24.00      0  34        1         0
#> 83.1  24.00      0   6        0         0
#> 147.2 24.00      0  76        1         0
#> 162   24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 7.2   24.00      0  37        1         0
#> 161   24.00      0  45        0         0
#> 147.3 24.00      0  76        1         0
#> 95.1  24.00      0  68        0         1
#> 122.1 24.00      0  66        0         0
#> 109   24.00      0  48        0         0
#> 118   24.00      0  44        1         0
#> 82.1  24.00      0  34        0         0
#> 7.3   24.00      0  37        1         0
#> 72    24.00      0  40        0         1
#> 62    24.00      0  71        0         0
#> 53    24.00      0  32        0         1
#> 109.1 24.00      0  48        0         0
#> 82.2  24.00      0  34        0         0
#> 3     24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 48    24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 196.1 24.00      0  19        0         0
#> 165   24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 47    24.00      0  38        0         1
#> 73    24.00      0  NA        0         1
#> 65    24.00      0  57        1         0
#> 138.2 24.00      0  44        1         0
#> 48.1  24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 185.1 24.00      0  44        1         0
#> 115.1 24.00      0  NA        1         0
#> 54.1  24.00      0  53        1         0
#> 191.1 24.00      0  60        0         1
#> 103   24.00      0  56        1         0
#> 28.1  24.00      0  67        1         0
#> 142   24.00      0  53        0         0
#> 142.1 24.00      0  53        0         0
#> 98.1  24.00      0  34        1         0
#> 21.1  24.00      0  47        0         0
#> 160   24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 144   24.00      0  28        0         1
#> 109.2 24.00      0  48        0         0
#> 72.2  24.00      0  40        0         1
#> 182   24.00      0  35        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.179          NA        NA      NA
#> 2 age, Cure model          0.00268        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0166         NA        NA      NA
#> 4 grade_iii, Cure model    0.692          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00417        NA        NA      NA
#> 2 grade_ii, Survival model   0.124          NA        NA      NA
#> 3 grade_iii, Survival model -0.0639         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.179248          0.002675         -0.016607          0.692356  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254 
#> Residual Deviance: 249.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.179248416      0.002675151     -0.016607412      0.692356296 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004169529      0.123515411     -0.063852256 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.58605348 0.50257537 0.76479714 0.50257537 0.66754560 0.68544678
#>   [7] 0.28280831 0.91808628 0.91808628 0.41540927 0.75598542 0.41540927
#>  [13] 0.86816914 0.83424867 0.08702922 0.20364057 0.15451727 0.40533758
#>  [19] 0.70326583 0.85969201 0.50257537 0.44450342 0.58605348 0.47376657
#>  [25] 0.85119106 0.45438963 0.12825995 0.05969583 0.31354670 0.56750550
#>  [31] 0.50257537 0.38535869 0.16796209 0.56750550 0.62219859 0.08702922
#>  [37] 0.28280831 0.25086651 0.45438963 0.81703387 0.66754560 0.86816914
#>  [43] 0.37514165 0.70326583 0.62219859 0.80838903 0.31354670 0.12825995
#>  [49] 0.98374947 0.58605348 0.20364057 0.95108736 0.58605348 0.93461089
#>  [55] 0.68544678 0.93461089 0.70326583 0.65849736 0.64045523 0.97559712
#>  [61] 0.54887735 0.86816914 0.25086651 0.70326583 0.64045523 0.22782838
#>  [67] 0.35457510 0.16796209 0.82565774 0.11408724 0.49293077 0.99188172
#>  [73] 0.25086651 0.22782838 0.73828700 0.74715654 0.33411456 0.78235314
#>  [79] 0.90976158 0.90142527 0.03990410 0.95108736 0.41540927 0.36489047
#>  [85] 0.53942628 0.01727949 0.83424867 0.79110963 0.89307695 0.96742692
#>  [91] 0.54887735 0.05969583 0.79110963 0.47376657 0.77358170 0.16796209
#>  [97] 0.28280831 0.33411456 0.38535869 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    85   110   133 110.1    26     6   190    52  52.1   179   180 179.1    49 
#> 16.44 17.56 14.65 17.56 15.77 15.64 20.81 10.42 10.42 18.63 14.82 18.63 12.19 
#>    37    69   136    66    76    39    56 110.2     8  85.1    40    42    88 
#> 12.52 23.23 21.83 22.13 19.22 15.59 12.21 17.56 18.43 16.44 18.00 12.43 18.37 
#>   194   129    68   181 110.3    58   175 181.1     5  69.1 190.1   153  88.1 
#> 22.40 23.41 20.62 16.46 17.56 19.34 21.91 16.46 16.43 23.23 20.81 21.33 18.37 
#>   154  26.1  49.1   170  39.1   5.1   140  68.1 194.1   149  85.2 136.1   145 
#> 12.63 15.77 12.19 19.54 15.59 16.43 12.68 20.62 22.40  8.37 16.44 21.83 10.07 
#>  85.3    93   6.1  93.1  39.2   100    79    16    45  49.2 153.1  39.3  79.1 
#> 16.44 10.33 15.64 10.33 15.59 16.07 16.23  8.71 17.42 12.19 21.33 15.59 16.23 
#>   139   150 175.1   177   113   184    91 153.2 139.1   167    18   128    81 
#> 21.49 20.33 21.91 12.53 22.86 17.77  5.33 21.33 21.49 15.55 15.21 20.35 14.06 
#>    10   159   164 145.1 179.2   166   117    86  37.1   123   107   183  45.1 
#> 10.53 10.55 23.60 10.07 18.63 19.98 17.46 23.81 12.52 13.00 11.18  9.24 17.42 
#> 129.1 123.1  40.1    57 175.2 190.2 128.1  58.1   138    83    35    20    80 
#> 23.41 13.00 18.00 14.46 21.91 20.81 20.35 19.34 24.00 24.00 24.00 24.00 24.00 
#>    11    19  19.1   147     2  11.1 147.1  11.2   135   193    82    46    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28 138.1     7   141    54  35.1    95   112   152   119    21   143    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   122   185   7.1  20.1   198   132   151    98  83.1 147.2   162   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.2   161 147.3  95.1 122.1   109   118  82.1   7.3    72    62    53 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.2     3 198.1    48    84 196.1   165   191    47    65 138.2  48.1  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1  54.1 191.1   103  28.1   142 142.1  98.1  21.1   160 103.1   144 109.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.2   182 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[34]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002426989               0.471419743               0.393049345 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.201819175             0.002036576            -0.027795681 
#>   grade_iii, Cure model 
#>             0.979134583 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 110   17.56      1  65        0         1
#> 77     7.27      1  67        0         1
#> 171   16.57      1  41        0         1
#> 45    17.42      1  54        0         1
#> 25     6.32      1  34        1         0
#> 70     7.38      1  30        1         0
#> 149    8.37      1  33        1         0
#> 108   18.29      1  39        0         1
#> 50    10.02      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 49    12.19      1  48        1         0
#> 25.1   6.32      1  34        1         0
#> 184   17.77      1  38        0         0
#> 49.1  12.19      1  48        1         0
#> 24    23.89      1  38        0         0
#> 184.1 17.77      1  38        0         0
#> 76    19.22      1  54        0         1
#> 25.2   6.32      1  34        1         0
#> 61    10.12      1  36        0         1
#> 194   22.40      1  38        0         1
#> 92    22.92      1  47        0         1
#> 13    14.34      1  54        0         1
#> 153   21.33      1  55        1         0
#> 10    10.53      1  34        0         0
#> 125   15.65      1  67        1         0
#> 89    11.44      1  NA        0         0
#> 56    12.21      1  60        0         0
#> 125.1 15.65      1  67        1         0
#> 52    10.42      1  52        0         1
#> 14    12.89      1  21        0         0
#> 58    19.34      1  39        0         0
#> 77.1   7.27      1  67        0         1
#> 190   20.81      1  42        1         0
#> 55    19.34      1  69        0         1
#> 129   23.41      1  53        1         0
#> 5     16.43      1  51        0         1
#> 106   16.67      1  49        1         0
#> 63    22.77      1  31        1         0
#> 15    22.68      1  48        0         0
#> 130   16.47      1  53        0         1
#> 130.1 16.47      1  53        0         1
#> 181   16.46      1  45        0         1
#> 128   20.35      1  35        0         1
#> 169   22.41      1  46        0         0
#> 107   11.18      1  54        1         0
#> 169.1 22.41      1  46        0         0
#> 56.1  12.21      1  60        0         0
#> 171.1 16.57      1  41        0         1
#> 189   10.51      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 157   15.10      1  47        0         0
#> 58.1  19.34      1  39        0         0
#> 127    3.53      1  62        0         1
#> 175   21.91      1  43        0         0
#> 113   22.86      1  34        0         0
#> 187    9.92      1  39        1         0
#> 194.1 22.40      1  38        0         1
#> 4     17.64      1  NA        0         1
#> 55.1  19.34      1  69        0         1
#> 61.1  10.12      1  36        0         1
#> 61.2  10.12      1  36        0         1
#> 187.1  9.92      1  39        1         0
#> 42    12.43      1  49        0         1
#> 89.1  11.44      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 51    18.23      1  83        0         1
#> 18    15.21      1  49        1         0
#> 76.1  19.22      1  54        0         1
#> 23    16.92      1  61        0         0
#> 117   17.46      1  26        0         1
#> 145   10.07      1  65        1         0
#> 13.1  14.34      1  54        0         1
#> 197   21.60      1  69        1         0
#> 108.1 18.29      1  39        0         1
#> 55.2  19.34      1  69        0         1
#> 4.1   17.64      1  NA        0         1
#> 14.1  12.89      1  21        0         0
#> 10.1  10.53      1  34        0         0
#> 105   19.75      1  60        0         0
#> 76.2  19.22      1  54        0         1
#> 184.2 17.77      1  38        0         0
#> 25.3   6.32      1  34        1         0
#> 133   14.65      1  57        0         0
#> 76.3  19.22      1  54        0         1
#> 29    15.45      1  68        1         0
#> 61.3  10.12      1  36        0         1
#> 6     15.64      1  39        0         0
#> 49.2  12.19      1  48        1         0
#> 63.1  22.77      1  31        1         0
#> 157.1 15.10      1  47        0         0
#> 39.1  15.59      1  37        0         1
#> 43    12.10      1  61        0         1
#> 192   16.44      1  31        1         0
#> 133.1 14.65      1  57        0         0
#> 150   20.33      1  48        0         0
#> 179   18.63      1  42        0         0
#> 150.1 20.33      1  48        0         0
#> 78    23.88      1  43        0         0
#> 110.1 17.56      1  65        0         1
#> 10.2  10.53      1  34        0         0
#> 55.3  19.34      1  69        0         1
#> 110.2 17.56      1  65        0         1
#> 197.1 21.60      1  69        1         0
#> 81    14.06      1  34        0         0
#> 199.1 19.81      1  NA        0         1
#> 184.3 17.77      1  38        0         0
#> 88    18.37      1  47        0         0
#> 167   15.55      1  56        1         0
#> 145.1 10.07      1  65        1         0
#> 59    10.16      1  NA        1         0
#> 13.2  14.34      1  54        0         1
#> 184.4 17.77      1  38        0         0
#> 186   24.00      0  45        1         0
#> 137   24.00      0  45        1         0
#> 9     24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 118   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 120   24.00      0  68        0         1
#> 33    24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 115   24.00      0  NA        1         0
#> 119   24.00      0  17        0         0
#> 11    24.00      0  42        0         1
#> 65    24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 119.1 24.00      0  17        0         0
#> 146   24.00      0  63        1         0
#> 119.2 24.00      0  17        0         0
#> 178   24.00      0  52        1         0
#> 165   24.00      0  47        0         0
#> 132   24.00      0  55        0         0
#> 75    24.00      0  21        1         0
#> 176   24.00      0  43        0         1
#> 46    24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 28.1  24.00      0  67        1         0
#> 102   24.00      0  49        0         0
#> 132.1 24.00      0  55        0         0
#> 7     24.00      0  37        1         0
#> 137.1 24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 71    24.00      0  51        0         0
#> 102.1 24.00      0  49        0         0
#> 109   24.00      0  48        0         0
#> 109.1 24.00      0  48        0         0
#> 44    24.00      0  56        0         0
#> 27    24.00      0  63        1         0
#> 62    24.00      0  71        0         0
#> 54    24.00      0  53        1         0
#> 1     24.00      0  23        1         0
#> 174   24.00      0  49        1         0
#> 156   24.00      0  50        1         0
#> 95.1  24.00      0  68        0         1
#> 120.1 24.00      0  68        0         1
#> 20    24.00      0  46        1         0
#> 33.1  24.00      0  53        0         0
#> 122.1 24.00      0  66        0         0
#> 35.1  24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 193   24.00      0  45        0         1
#> 191   24.00      0  60        0         1
#> 121   24.00      0  57        1         0
#> 121.1 24.00      0  57        1         0
#> 28.2  24.00      0  67        1         0
#> 53    24.00      0  32        0         1
#> 94    24.00      0  51        0         1
#> 138   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 9.1   24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 20.1  24.00      0  46        1         0
#> 35.2  24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 191.1 24.00      0  60        0         1
#> 22    24.00      0  52        1         0
#> 75.1  24.00      0  21        1         0
#> 109.2 24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 17    24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 104   24.00      0  50        1         0
#> 38    24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 64    24.00      0  43        0         0
#> 126   24.00      0  48        0         0
#> 34.1  24.00      0  36        0         0
#> 103   24.00      0  56        1         0
#> 71.1  24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 9.2   24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 64.1  24.00      0  43        0         0
#> 31    24.00      0  36        0         1
#> 82.1  24.00      0  34        0         0
#> 142   24.00      0  53        0         0
#> 38.1  24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.202          NA        NA      NA
#> 2 age, Cure model          0.00204        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0278         NA        NA      NA
#> 4 grade_iii, Cure model    0.979          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00243        NA        NA      NA
#> 2 grade_ii, Survival model   0.471          NA        NA      NA
#> 3 grade_iii, Survival model  0.393          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.201819          0.002037         -0.027796          0.979135  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 252.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.201819175      0.002036576     -0.027795681      0.979134583 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002426989      0.471419743      0.393049345 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.46119470 0.94395334 0.52750548 0.49904652 0.96022358 0.93574604
#>   [7] 0.92750333 0.38515564 0.62759546 0.78466487 0.96022358 0.41424781
#>  [13] 0.78466487 0.00823933 0.41424781 0.32713783 0.96022358 0.86124663
#>  [19] 0.14765577 0.05841437 0.70669904 0.20486024 0.82730357 0.60075830
#>  [25] 0.76731203 0.60075830 0.85271632 0.74125172 0.26976363 0.94395334
#>  [31] 0.21603340 0.26976363 0.04282680 0.58260600 0.51805990 0.08741498
#>  [37] 0.11080045 0.54600360 0.54600360 0.56431404 0.22695426 0.12334083
#>  [43] 0.81876542 0.12334083 0.76731203 0.52750548 0.67171608 0.26976363
#>  [49] 0.99198127 0.17065269 0.07279584 0.91102133 0.14765577 0.26976363
#>  [55] 0.86124663 0.86124663 0.91102133 0.75861282 0.59167272 0.40450460
#>  [61] 0.66295192 0.32713783 0.50854098 0.48949766 0.89440177 0.70669904
#>  [67] 0.18265038 0.38515564 0.26976363 0.74125172 0.82730357 0.25888011
#>  [73] 0.32713783 0.41424781 0.96022358 0.68917887 0.32713783 0.65413852
#>  [79] 0.86124663 0.61859837 0.78466487 0.08741498 0.67171608 0.62759546
#>  [85] 0.81019101 0.57349547 0.68917887 0.23768887 0.36523316 0.23768887
#>  [91] 0.02466860 0.46119470 0.82730357 0.26976363 0.46119470 0.18265038
#>  [97] 0.73252996 0.41424781 0.37518014 0.64528235 0.89440177 0.70669904
#> [103] 0.41424781 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   110    77   171    45    25    70   149   108    39    49  25.1   184  49.1 
#> 17.56  7.27 16.57 17.42  6.32  7.38  8.37 18.29 15.59 12.19  6.32 17.77 12.19 
#>    24 184.1    76  25.2    61   194    92    13   153    10   125    56 125.1 
#> 23.89 17.77 19.22  6.32 10.12 22.40 22.92 14.34 21.33 10.53 15.65 12.21 15.65 
#>    52    14    58  77.1   190    55   129     5   106    63    15   130 130.1 
#> 10.42 12.89 19.34  7.27 20.81 19.34 23.41 16.43 16.67 22.77 22.68 16.47 16.47 
#>   181   128   169   107 169.1  56.1 171.1   157  58.1   127   175   113   187 
#> 16.46 20.35 22.41 11.18 22.41 12.21 16.57 15.10 19.34  3.53 21.91 22.86  9.92 
#> 194.1  55.1  61.1  61.2 187.1    42   100    51    18  76.1    23   117   145 
#> 22.40 19.34 10.12 10.12  9.92 12.43 16.07 18.23 15.21 19.22 16.92 17.46 10.07 
#>  13.1   197 108.1  55.2  14.1  10.1   105  76.2 184.2  25.3   133  76.3    29 
#> 14.34 21.60 18.29 19.34 12.89 10.53 19.75 19.22 17.77  6.32 14.65 19.22 15.45 
#>  61.3     6  49.2  63.1 157.1  39.1    43   192 133.1   150   179 150.1    78 
#> 10.12 15.64 12.19 22.77 15.10 15.59 12.10 16.44 14.65 20.33 18.63 20.33 23.88 
#> 110.1  10.2  55.3 110.2 197.1    81 184.3    88   167 145.1  13.2 184.4   186 
#> 17.56 10.53 19.34 17.56 21.60 14.06 17.77 18.37 15.55 10.07 14.34 17.77 24.00 
#>   137     9    28   118   173   120    33    84   119    11    65    35   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1   146 119.2   178   165   132    75   176    46    95  28.1   102 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7 137.1   131    87    71 102.1   109 109.1    44    27    62    54     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   156  95.1 120.1    20  33.1 122.1  35.1   182   193   191   121 121.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.2    53    94   138    82   9.1   143  20.1  35.2     2 191.1    22  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.2    83    17   116   104    38    34    64   126  34.1   103  71.1   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.2    12  64.1    31  82.1   142  38.1 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[35]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007856781               0.880172462               0.337179961 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.61136123              0.01540097              0.18161579 
#>   grade_iii, Cure model 
#>              0.14673065 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 97    19.14      1  65        0         1
#> 164   23.60      1  76        0         1
#> 105   19.75      1  60        0         0
#> 133   14.65      1  57        0         0
#> 25     6.32      1  34        1         0
#> 167   15.55      1  56        1         0
#> 32    20.90      1  37        1         0
#> 149    8.37      1  33        1         0
#> 181   16.46      1  45        0         1
#> 81    14.06      1  34        0         0
#> 159   10.55      1  50        0         1
#> 187    9.92      1  39        1         0
#> 52    10.42      1  52        0         1
#> 149.1  8.37      1  33        1         0
#> 166   19.98      1  48        0         0
#> 59    10.16      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 113   22.86      1  34        0         0
#> 69    23.23      1  25        0         1
#> 5     16.43      1  51        0         1
#> 194   22.40      1  38        0         1
#> 189   10.51      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 16     8.71      1  71        0         1
#> 96    14.54      1  33        0         1
#> 175   21.91      1  43        0         0
#> 81.1  14.06      1  34        0         0
#> 30    17.43      1  78        0         0
#> 149.2  8.37      1  33        1         0
#> 41    18.02      1  40        1         0
#> 70     7.38      1  30        1         0
#> 188   16.16      1  46        0         1
#> 49    12.19      1  48        1         0
#> 42    12.43      1  49        0         1
#> 130   16.47      1  53        0         1
#> 158   20.14      1  74        1         0
#> 169   22.41      1  46        0         0
#> 139.1 21.49      1  63        1         0
#> 150   20.33      1  48        0         0
#> 57    14.46      1  45        0         1
#> 57.1  14.46      1  45        0         1
#> 194.1 22.40      1  38        0         1
#> 145   10.07      1  65        1         0
#> 124    9.73      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 70.1   7.38      1  30        1         0
#> 99    21.19      1  38        0         1
#> 6     15.64      1  39        0         0
#> 139.2 21.49      1  63        1         0
#> 57.2  14.46      1  45        0         1
#> 101    9.97      1  10        0         1
#> 51    18.23      1  83        0         1
#> 164.1 23.60      1  76        0         1
#> 177   12.53      1  75        0         0
#> 77     7.27      1  67        0         1
#> 63    22.77      1  31        1         0
#> 170   19.54      1  43        0         1
#> 136   21.83      1  43        0         1
#> 149.3  8.37      1  33        1         0
#> 108   18.29      1  39        0         1
#> 155   13.08      1  26        0         0
#> 140   12.68      1  59        1         0
#> 183    9.24      1  67        1         0
#> 100   16.07      1  60        0         0
#> 157   15.10      1  47        0         0
#> 168   23.72      1  70        0         0
#> 149.4  8.37      1  33        1         0
#> 23    16.92      1  61        0         0
#> 13    14.34      1  54        0         1
#> 16.1   8.71      1  71        0         1
#> 130.1 16.47      1  53        0         1
#> 166.1 19.98      1  48        0         0
#> 78    23.88      1  43        0         0
#> 166.2 19.98      1  48        0         0
#> 187.1  9.92      1  39        1         0
#> 81.2  14.06      1  34        0         0
#> 69.1  23.23      1  25        0         1
#> 25.1   6.32      1  34        1         0
#> 125   15.65      1  67        1         0
#> 154   12.63      1  20        1         0
#> 179   18.63      1  42        0         0
#> 105.1 19.75      1  60        0         0
#> 117   17.46      1  26        0         1
#> 40    18.00      1  28        1         0
#> 26    15.77      1  49        0         1
#> 76    19.22      1  54        0         1
#> 5.1   16.43      1  51        0         1
#> 56    12.21      1  60        0         0
#> 81.3  14.06      1  34        0         0
#> 154.1 12.63      1  20        1         0
#> 117.1 17.46      1  26        0         1
#> 134   17.81      1  47        1         0
#> 78.1  23.88      1  43        0         0
#> 32.1  20.90      1  37        1         0
#> 108.1 18.29      1  39        0         1
#> 184   17.77      1  38        0         0
#> 26.1  15.77      1  49        0         1
#> 189.1 10.51      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 164.2 23.60      1  76        0         1
#> 45    17.42      1  54        0         1
#> 145.1 10.07      1  65        1         0
#> 195   11.76      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 8.1   18.43      1  32        0         0
#> 56.1  12.21      1  60        0         0
#> 145.2 10.07      1  65        1         0
#> 85    16.44      1  36        0         0
#> 24    23.89      1  38        0         0
#> 195.1 11.76      1  NA        1         0
#> 164.3 23.60      1  76        0         1
#> 24.1  23.89      1  38        0         0
#> 21    24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 132   24.00      0  55        0         0
#> 152   24.00      0  36        0         1
#> 21.1  24.00      0  47        0         0
#> 162   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 64    24.00      0  43        0         0
#> 144   24.00      0  28        0         1
#> 131   24.00      0  66        0         0
#> 144.1 24.00      0  28        0         1
#> 73    24.00      0  NA        0         1
#> 87    24.00      0  27        0         0
#> 185   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 82    24.00      0  34        0         0
#> 31    24.00      0  36        0         1
#> 9     24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 21.2  24.00      0  47        0         0
#> 173   24.00      0  19        0         1
#> 131.1 24.00      0  66        0         0
#> 19.1  24.00      0  57        0         1
#> 176   24.00      0  43        0         1
#> 143   24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 47    24.00      0  38        0         1
#> 67    24.00      0  25        0         0
#> 31.1  24.00      0  36        0         1
#> 163   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 162.1 24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 172   24.00      0  41        0         0
#> 71    24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 160   24.00      0  31        1         0
#> 73.1  24.00      0  NA        0         1
#> 116   24.00      0  58        0         1
#> 84.1  24.00      0  39        0         1
#> 144.2 24.00      0  28        0         1
#> 185.1 24.00      0  44        1         0
#> 84.2  24.00      0  39        0         1
#> 19.2  24.00      0  57        0         1
#> 162.2 24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 142   24.00      0  53        0         0
#> 48    24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 84.3  24.00      0  39        0         1
#> 74    24.00      0  43        0         1
#> 116.1 24.00      0  58        0         1
#> 146   24.00      0  63        1         0
#> 151.1 24.00      0  42        0         0
#> 148   24.00      0  61        1         0
#> 178   24.00      0  52        1         0
#> 72    24.00      0  40        0         1
#> 173.1 24.00      0  19        0         1
#> 174   24.00      0  49        1         0
#> 196   24.00      0  19        0         0
#> 200   24.00      0  64        0         0
#> 147   24.00      0  76        1         0
#> 163.1 24.00      0  66        0         0
#> 48.1  24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 47.1  24.00      0  38        0         1
#> 173.2 24.00      0  19        0         1
#> 148.1 24.00      0  61        1         0
#> 122   24.00      0  66        0         0
#> 98.1  24.00      0  34        1         0
#> 20    24.00      0  46        1         0
#> 71.1  24.00      0  51        0         0
#> 20.1  24.00      0  46        1         0
#> 176.1 24.00      0  43        0         1
#> 72.1  24.00      0  40        0         1
#> 62    24.00      0  71        0         0
#> 156   24.00      0  50        1         0
#> 44.1  24.00      0  56        0         0
#> 53    24.00      0  32        0         1
#> 95    24.00      0  68        0         1
#> 98.2  24.00      0  34        1         0
#> 7     24.00      0  37        1         0
#> 11.1  24.00      0  42        0         1
#> 65    24.00      0  57        1         0
#> 73.2  24.00      0  NA        0         1
#> 84.4  24.00      0  39        0         1
#> 48.2  24.00      0  31        1         0
#> 11.2  24.00      0  42        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.611         NA        NA      NA
#> 2 age, Cure model           0.0154        NA        NA      NA
#> 3 grade_ii, Cure model      0.182         NA        NA      NA
#> 4 grade_iii, Cure model     0.147         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00786        NA        NA      NA
#> 2 grade_ii, Survival model   0.880          NA        NA      NA
#> 3 grade_iii, Survival model  0.337          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.6114            0.0154            0.1816            0.1467  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 257.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.61136123       0.01540097       0.18161579       0.14673065 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007856781      0.880172462      0.337179961 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.334249295 0.046268478 0.295750543 0.624621163 0.982741087 0.605192633
#>   [7] 0.231675127 0.912604669 0.508083214 0.682909173 0.809006238 0.866146110
#>  [13] 0.818683097 0.912604669 0.268242383 0.183018653 0.106538000 0.085040339
#>  [19] 0.527446186 0.139876927 0.211970888 0.894027486 0.634414238 0.160866168
#>  [25] 0.682909173 0.460224309 0.912604669 0.403121040 0.956450728 0.546718549
#>  [31] 0.799335643 0.770300717 0.488954338 0.259048172 0.128891718 0.183018653
#>  [37] 0.249738961 0.644195084 0.644195084 0.139876927 0.828367843 0.956450728
#>  [43] 0.221831585 0.595415492 0.183018653 0.644195084 0.856645694 0.393118871
#>  [49] 0.046268478 0.760647950 0.973942096 0.118183692 0.314838370 0.171942051
#>  [55] 0.912604669 0.373502143 0.721760357 0.731700839 0.884728600 0.556445327
#>  [61] 0.614883204 0.034733711 0.912604669 0.479323513 0.673115653 0.894027486
#>  [67] 0.488954338 0.268242383 0.017470573 0.268242383 0.866146110 0.682909173
#>  [73] 0.085040339 0.982741087 0.585680541 0.741572014 0.344012100 0.295750543
#>  [79] 0.441514989 0.412937862 0.566236440 0.324531719 0.527446186 0.779959134
#>  [85] 0.682909173 0.741572014 0.441514989 0.422541210 0.017470573 0.231675127
#>  [91] 0.373502143 0.432001210 0.566236440 0.046268478 0.469765813 0.828367843
#>  [97] 0.353853418 0.353853418 0.779959134 0.828367843 0.517742398 0.004538537
#> [103] 0.046268478 0.004538537 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    97   164   105   133    25   167    32   149   181    81   159   187    52 
#> 19.14 23.60 19.75 14.65  6.32 15.55 20.90  8.37 16.46 14.06 10.55  9.92 10.42 
#> 149.1   166   139   113    69     5   194   153    16    96   175  81.1    30 
#>  8.37 19.98 21.49 22.86 23.23 16.43 22.40 21.33  8.71 14.54 21.91 14.06 17.43 
#> 149.2    41    70   188    49    42   130   158   169 139.1   150    57  57.1 
#>  8.37 18.02  7.38 16.16 12.19 12.43 16.47 20.14 22.41 21.49 20.33 14.46 14.46 
#> 194.1   145  70.1    99     6 139.2  57.2   101    51 164.1   177    77    63 
#> 22.40 10.07  7.38 21.19 15.64 21.49 14.46  9.97 18.23 23.60 12.53  7.27 22.77 
#>   170   136 149.3   108   155   140   183   100   157   168 149.4    23    13 
#> 19.54 21.83  8.37 18.29 13.08 12.68  9.24 16.07 15.10 23.72  8.37 16.92 14.34 
#>  16.1 130.1 166.1    78 166.2 187.1  81.2  69.1  25.1   125   154   179 105.1 
#>  8.71 16.47 19.98 23.88 19.98  9.92 14.06 23.23  6.32 15.65 12.63 18.63 19.75 
#>   117    40    26    76   5.1    56  81.3 154.1 117.1   134  78.1  32.1 108.1 
#> 17.46 18.00 15.77 19.22 16.43 12.21 14.06 12.63 17.46 17.81 23.88 20.90 18.29 
#>   184  26.1 164.2    45 145.1     8   8.1  56.1 145.2    85    24 164.3  24.1 
#> 17.77 15.77 23.60 17.42 10.07 18.43 18.43 12.21 10.07 16.44 23.89 23.60 23.89 
#>    21   151   132   152  21.1   162    11    64   144   131 144.1    87   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75    82    31     9    19  21.2   173 131.1  19.1   176   143    44    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67  31.1   163   104 162.1    84   172    71    34   160   116  84.1 144.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1  84.2  19.2 162.2    98   142    48     3  84.3    74 116.1   146 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   178    72 173.1   174   196   200   147 163.1  48.1 160.1  47.1 173.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1   122  98.1    20  71.1  20.1 176.1  72.1    62   156  44.1    53    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.2     7  11.1    65  84.4  48.2  11.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[36]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01971785                0.58303349                0.50631180 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.485130700             0.006950752             0.039329533 
#>   grade_iii, Cure model 
#>             1.147359788 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 89    11.44      1  NA        0         0
#> 150   20.33      1  48        0         0
#> 111   17.45      1  47        0         1
#> 91     5.33      1  61        0         1
#> 180   14.82      1  37        0         0
#> 10    10.53      1  34        0         0
#> 32    20.90      1  37        1         0
#> 86    23.81      1  58        0         1
#> 195   11.76      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 23    16.92      1  61        0         0
#> 40    18.00      1  28        1         0
#> 86.1  23.81      1  58        0         1
#> 60    13.15      1  38        1         0
#> 89.1  11.44      1  NA        0         0
#> 105   19.75      1  60        0         0
#> 199   19.81      1  NA        0         1
#> 39    15.59      1  37        0         1
#> 13    14.34      1  54        0         1
#> 18    15.21      1  49        1         0
#> 124    9.73      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 91.1   5.33      1  61        0         1
#> 70     7.38      1  30        1         0
#> 4     17.64      1  NA        0         1
#> 14    12.89      1  21        0         0
#> 166   19.98      1  48        0         0
#> 77     7.27      1  67        0         1
#> 197   21.60      1  69        1         0
#> 42    12.43      1  49        0         1
#> 14.1  12.89      1  21        0         0
#> 24    23.89      1  38        0         0
#> 15    22.68      1  48        0         0
#> 134   17.81      1  47        1         0
#> 192   16.44      1  31        1         0
#> 105.1 19.75      1  60        0         0
#> 111.1 17.45      1  47        0         1
#> 153   21.33      1  55        1         0
#> 158   20.14      1  74        1         0
#> 16     8.71      1  71        0         1
#> 49    12.19      1  48        1         0
#> 197.1 21.60      1  69        1         0
#> 124.1  9.73      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 85    16.44      1  36        0         0
#> 18.1  15.21      1  49        1         0
#> 164   23.60      1  76        0         1
#> 114   13.68      1  NA        0         0
#> 91.2   5.33      1  61        0         1
#> 177   12.53      1  75        0         0
#> 79    16.23      1  54        1         0
#> 88    18.37      1  47        0         0
#> 168   23.72      1  70        0         0
#> 179   18.63      1  42        0         0
#> 111.2 17.45      1  47        0         1
#> 129   23.41      1  53        1         0
#> 60.1  13.15      1  38        1         0
#> 45    17.42      1  54        0         1
#> 155   13.08      1  26        0         0
#> 140   12.68      1  59        1         0
#> 76    19.22      1  54        0         1
#> 70.1   7.38      1  30        1         0
#> 49.1  12.19      1  48        1         0
#> 25     6.32      1  34        1         0
#> 127    3.53      1  62        0         1
#> 167   15.55      1  56        1         0
#> 149    8.37      1  33        1         0
#> 105.2 19.75      1  60        0         0
#> 130   16.47      1  53        0         1
#> 59    10.16      1  NA        1         0
#> 199.1 19.81      1  NA        0         1
#> 183    9.24      1  67        1         0
#> 86.2  23.81      1  58        0         1
#> 114.1 13.68      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 25.1   6.32      1  34        1         0
#> 61    10.12      1  36        0         1
#> 56    12.21      1  60        0         0
#> 192.1 16.44      1  31        1         0
#> 106   16.67      1  49        1         0
#> 57    14.46      1  45        0         1
#> 169   22.41      1  46        0         0
#> 81    14.06      1  34        0         0
#> 177.1 12.53      1  75        0         0
#> 100   16.07      1  60        0         0
#> 8     18.43      1  32        0         0
#> 26    15.77      1  49        0         1
#> 88.1  18.37      1  47        0         0
#> 16.1   8.71      1  71        0         1
#> 130.1 16.47      1  53        0         1
#> 93    10.33      1  52        0         1
#> 55    19.34      1  69        0         1
#> 42.1  12.43      1  49        0         1
#> 157   15.10      1  47        0         0
#> 40.1  18.00      1  28        1         0
#> 149.1  8.37      1  33        1         0
#> 195.1 11.76      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 171   16.57      1  41        0         1
#> 86.3  23.81      1  58        0         1
#> 52    10.42      1  52        0         1
#> 26.1  15.77      1  49        0         1
#> 164.1 23.60      1  76        0         1
#> 127.1  3.53      1  62        0         1
#> 39.1  15.59      1  37        0         1
#> 139   21.49      1  63        1         0
#> 15.1  22.68      1  48        0         0
#> 93.1  10.33      1  52        0         1
#> 139.1 21.49      1  63        1         0
#> 24.1  23.89      1  38        0         0
#> 199.2 19.81      1  NA        0         1
#> 96    14.54      1  33        0         1
#> 20    24.00      0  46        1         0
#> 34    24.00      0  36        0         0
#> 38    24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 156   24.00      0  50        1         0
#> 131   24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 87    24.00      0  27        0         0
#> 12    24.00      0  63        0         0
#> 112   24.00      0  61        0         0
#> 156.1 24.00      0  50        1         0
#> 148   24.00      0  61        1         0
#> 31    24.00      0  36        0         1
#> 34.1  24.00      0  36        0         0
#> 95    24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 115   24.00      0  NA        1         0
#> 193   24.00      0  45        0         1
#> 38.1  24.00      0  31        1         0
#> 131.1 24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 84    24.00      0  39        0         1
#> 33    24.00      0  53        0         0
#> 135   24.00      0  58        1         0
#> 126   24.00      0  48        0         0
#> 3     24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 186   24.00      0  45        1         0
#> 172   24.00      0  41        0         0
#> 38.2  24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 142.1 24.00      0  53        0         0
#> 186.1 24.00      0  45        1         0
#> 12.1  24.00      0  63        0         0
#> 198.1 24.00      0  66        0         1
#> 115.1 24.00      0  NA        1         0
#> 2     24.00      0   9        0         0
#> 165   24.00      0  47        0         0
#> 160   24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 115.2 24.00      0  NA        1         0
#> 35    24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 186.2 24.00      0  45        1         0
#> 200.1 24.00      0  64        0         0
#> 9     24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 73.1  24.00      0  NA        0         1
#> 62    24.00      0  71        0         0
#> 162   24.00      0  51        0         0
#> 186.3 24.00      0  45        1         0
#> 165.1 24.00      0  47        0         0
#> 19    24.00      0  57        0         1
#> 7.1   24.00      0  37        1         0
#> 137   24.00      0  45        1         0
#> 148.1 24.00      0  61        1         0
#> 44    24.00      0  56        0         0
#> 31.1  24.00      0  36        0         1
#> 21    24.00      0  47        0         0
#> 47    24.00      0  38        0         1
#> 65    24.00      0  57        1         0
#> 3.1   24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 62.1  24.00      0  71        0         0
#> 144   24.00      0  28        0         1
#> 98    24.00      0  34        1         0
#> 112.1 24.00      0  61        0         0
#> 38.3  24.00      0  31        1         0
#> 186.4 24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 196.1 24.00      0  19        0         0
#> 54    24.00      0  53        1         0
#> 80    24.00      0  41        0         0
#> 71    24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 132   24.00      0  55        0         0
#> 64    24.00      0  43        0         0
#> 44.1  24.00      0  56        0         0
#> 47.1  24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 172.1 24.00      0  41        0         0
#> 148.2 24.00      0  61        1         0
#> 141   24.00      0  44        1         0
#> 20.1  24.00      0  46        1         0
#> 196.2 24.00      0  19        0         0
#> 162.1 24.00      0  51        0         0
#> 27.1  24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.485          NA        NA      NA
#> 2 age, Cure model          0.00695        NA        NA      NA
#> 3 grade_ii, Cure model     0.0393         NA        NA      NA
#> 4 grade_iii, Cure model    1.15           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0197        NA        NA      NA
#> 2 grade_ii, Survival model    0.583         NA        NA      NA
#> 3 grade_iii, Survival model   0.506         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.485131          0.006951          0.039330          1.147360  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    250.9 
#> Residual Deviance: 239 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.485130700      0.006950752      0.039329533      1.147359788 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01971785       0.58303349       0.50631180 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0598880464 0.1800810985 0.9157572976 0.4171440032 0.6766290194
#>   [6] 0.0547168344 0.0012308119 0.0124743636 0.2172855939 0.1450078772
#>  [11] 0.0012308119 0.4810350478 0.0771258543 0.3457339334 0.4550758118
#>  [16] 0.3808205847 0.0150434213 0.9157572976 0.8342484294 0.5203353109
#>  [21] 0.0710876373 0.8665431444 0.0278216824 0.5888218477 0.5203353109
#>  [26] 0.0001484068 0.0178470186 0.1620427393 0.2689460206 0.0771258543
#>  [31] 0.1800810985 0.0446993810 0.0653478478 0.7697654275 0.6320950738
#>  [36] 0.0278216824 0.6615589952 0.2689460206 0.3808205847 0.0061516276
#>  [41] 0.9157572976 0.5607474623 0.3004845086 0.1279123231 0.0045483380
#>  [46] 0.1118261734 0.1800810985 0.0100759254 0.4810350478 0.2075130985
#>  [51] 0.5070288144 0.5470658154 0.1042131259 0.8342484294 0.6320950738
#>  [56] 0.8830165102 0.9657603513 0.3688968522 0.8019644494 0.0771258543
#>  [61] 0.2479611720 0.7538905587 0.0012308119 0.0496116903 0.8830165102
#>  [66] 0.7381882804 0.6173986612 0.2689460206 0.2273756132 0.4423385415
#>  [71] 0.0241334294 0.4679674969 0.5607474623 0.3115416284 0.1197428272
#>  [76] 0.3228778507 0.1279123231 0.7697654275 0.2479611720 0.7072376900
#>  [81] 0.0968309752 0.5888218477 0.4047648035 0.1450078772 0.8019644494
#>  [86] 0.1709364526 0.2376102393 0.0012308119 0.6918648159 0.3228778507
#>  [91] 0.0061516276 0.9657603513 0.3457339334 0.0357792996 0.0178470186
#>  [96] 0.7072376900 0.0357792996 0.0001484068 0.4297164374 0.0000000000
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000
#> 
#> $Time
#>   150   111    91   180    10    32    86    92    23    40  86.1    60   105 
#> 20.33 17.45  5.33 14.82 10.53 20.90 23.81 22.92 16.92 18.00 23.81 13.15 19.75 
#>    39    13    18   113  91.1    70    14   166    77   197    42  14.1    24 
#> 15.59 14.34 15.21 22.86  5.33  7.38 12.89 19.98  7.27 21.60 12.43 12.89 23.89 
#>    15   134   192 105.1 111.1   153   158    16    49 197.1    43    85  18.1 
#> 22.68 17.81 16.44 19.75 17.45 21.33 20.14  8.71 12.19 21.60 12.10 16.44 15.21 
#>   164  91.2   177    79    88   168   179 111.2   129  60.1    45   155   140 
#> 23.60  5.33 12.53 16.23 18.37 23.72 18.63 17.45 23.41 13.15 17.42 13.08 12.68 
#>    76  70.1  49.1    25   127   167   149 105.2   130   183  86.2    90  25.1 
#> 19.22  7.38 12.19  6.32  3.53 15.55  8.37 19.75 16.47  9.24 23.81 20.94  6.32 
#>    61    56 192.1   106    57   169    81 177.1   100     8    26  88.1  16.1 
#> 10.12 12.21 16.44 16.67 14.46 22.41 14.06 12.53 16.07 18.43 15.77 18.37  8.71 
#> 130.1    93    55  42.1   157  40.1 149.1   184   171  86.3    52  26.1 164.1 
#> 16.47 10.33 19.34 12.43 15.10 18.00  8.37 17.77 16.57 23.81 10.42 15.77 23.60 
#> 127.1  39.1   139  15.1  93.1 139.1  24.1    96    20    34    38   142   198 
#>  3.53 15.59 21.49 22.68 10.33 21.49 23.89 14.54 24.00 24.00 24.00 24.00 24.00 
#>   156   131   116    87    12   112 156.1   148    31  34.1    95   104   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.1 131.1   200    84    33   135   126     3   196   186   172  38.2 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.1  12.1 198.1     2   165   160     7    35    28 186.2 200.1     9    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   162 186.3 165.1    19   7.1   137 148.1    44  31.1    21    47    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1   147  62.1   144    98 112.1  38.3 186.4    72 196.1    54    80    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   132    64  44.1  47.1    27 172.1 148.2   141  20.1 196.2 162.1  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[37]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0007823629              0.6057032095              0.3337222256 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.99228544              0.01403321              0.45483905 
#>   grade_iii, Cure model 
#>              1.06940754 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 24    23.89      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 6     15.64      1  39        0         0
#> 199   19.81      1  NA        0         1
#> 91     5.33      1  61        0         1
#> 128   20.35      1  35        0         1
#> 170   19.54      1  43        0         1
#> 93    10.33      1  52        0         1
#> 170.1 19.54      1  43        0         1
#> 187    9.92      1  39        1         0
#> 139   21.49      1  63        1         0
#> 50    10.02      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 90    20.94      1  50        0         1
#> 63    22.77      1  31        1         0
#> 99    21.19      1  38        0         1
#> 99.1  21.19      1  38        0         1
#> 93.1  10.33      1  52        0         1
#> 81    14.06      1  34        0         0
#> 105   19.75      1  60        0         0
#> 43    12.10      1  61        0         1
#> 107   11.18      1  54        1         0
#> 50.1  10.02      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 181   16.46      1  45        0         1
#> 184   17.77      1  38        0         0
#> 199.1 19.81      1  NA        0         1
#> 26    15.77      1  49        0         1
#> 41.1  18.02      1  40        1         0
#> 100   16.07      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 59    10.16      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 111   17.45      1  47        0         1
#> 77     7.27      1  67        0         1
#> 88    18.37      1  47        0         0
#> 124    9.73      1  NA        1         0
#> 23.1  16.92      1  61        0         0
#> 45    17.42      1  54        0         1
#> 150.1 20.33      1  48        0         0
#> 81.1  14.06      1  34        0         0
#> 140   12.68      1  59        1         0
#> 114   13.68      1  NA        0         0
#> 164   23.60      1  76        0         1
#> 157   15.10      1  47        0         0
#> 106   16.67      1  49        1         0
#> 42    12.43      1  49        0         1
#> 43.1  12.10      1  61        0         1
#> 192   16.44      1  31        1         0
#> 177   12.53      1  75        0         0
#> 85    16.44      1  36        0         0
#> 58    19.34      1  39        0         0
#> 136   21.83      1  43        0         1
#> 153   21.33      1  55        1         0
#> 139.1 21.49      1  63        1         0
#> 168   23.72      1  70        0         0
#> 125   15.65      1  67        1         0
#> 90.1  20.94      1  50        0         1
#> 91.1   5.33      1  61        0         1
#> 128.1 20.35      1  35        0         1
#> 195.1 11.76      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 99.2  21.19      1  38        0         1
#> 14    12.89      1  21        0         0
#> 16     8.71      1  71        0         1
#> 180   14.82      1  37        0         0
#> 51    18.23      1  83        0         1
#> 15    22.68      1  48        0         0
#> 189   10.51      1  NA        1         0
#> 136.1 21.83      1  43        0         1
#> 45.1  17.42      1  54        0         1
#> 57    14.46      1  45        0         1
#> 187.1  9.92      1  39        1         0
#> 60    13.15      1  38        1         0
#> 59.1  10.16      1  NA        1         0
#> 45.2  17.42      1  54        0         1
#> 32    20.90      1  37        1         0
#> 61    10.12      1  36        0         1
#> 181.1 16.46      1  45        0         1
#> 106.1 16.67      1  49        1         0
#> 158   20.14      1  74        1         0
#> 124.1  9.73      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 60.1  13.15      1  38        1         0
#> 18    15.21      1  49        1         0
#> 69    23.23      1  25        0         1
#> 57.1  14.46      1  45        0         1
#> 145   10.07      1  65        1         0
#> 149    8.37      1  33        1         0
#> 106.2 16.67      1  49        1         0
#> 110   17.56      1  65        0         1
#> 140.1 12.68      1  59        1         0
#> 96.1  14.54      1  33        0         1
#> 25     6.32      1  34        1         0
#> 192.1 16.44      1  31        1         0
#> 59.2  10.16      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 170.2 19.54      1  43        0         1
#> 5     16.43      1  51        0         1
#> 15.1  22.68      1  48        0         0
#> 145.1 10.07      1  65        1         0
#> 10    10.53      1  34        0         0
#> 61.1  10.12      1  36        0         1
#> 111.1 17.45      1  47        0         1
#> 66    22.13      1  53        0         0
#> 10.1  10.53      1  34        0         0
#> 86    23.81      1  58        0         1
#> 166   19.98      1  48        0         0
#> 90.2  20.94      1  50        0         1
#> 49    12.19      1  48        1         0
#> 90.3  20.94      1  50        0         1
#> 98    24.00      0  34        1         0
#> 98.1  24.00      0  34        1         0
#> 119   24.00      0  17        0         0
#> 62    24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 120   24.00      0  68        0         1
#> 44    24.00      0  56        0         0
#> 102   24.00      0  49        0         0
#> 12    24.00      0  63        0         0
#> 48    24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 33    24.00      0  53        0         0
#> 119.1 24.00      0  17        0         0
#> 182   24.00      0  35        0         0
#> 48.1  24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 162   24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 103   24.00      0  56        1         0
#> 67    24.00      0  25        0         0
#> 173.1 24.00      0  19        0         1
#> 44.1  24.00      0  56        0         0
#> 186   24.00      0  45        1         0
#> 198   24.00      0  66        0         1
#> 73.1  24.00      0  NA        0         1
#> 62.1  24.00      0  71        0         0
#> 34    24.00      0  36        0         0
#> 196   24.00      0  19        0         0
#> 141   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 102.1 24.00      0  49        0         0
#> 193   24.00      0  45        0         1
#> 116   24.00      0  58        0         1
#> 173.2 24.00      0  19        0         1
#> 31    24.00      0  36        0         1
#> 103.1 24.00      0  56        1         0
#> 200   24.00      0  64        0         0
#> 12.1  24.00      0  63        0         0
#> 176   24.00      0  43        0         1
#> 73.2  24.00      0  NA        0         1
#> 109   24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 152   24.00      0  36        0         1
#> 156   24.00      0  50        1         0
#> 162.1 24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 115   24.00      0  NA        1         0
#> 95    24.00      0  68        0         1
#> 11    24.00      0  42        0         1
#> 65    24.00      0  57        1         0
#> 119.2 24.00      0  17        0         0
#> 186.1 24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 7     24.00      0  37        1         0
#> 44.2  24.00      0  56        0         0
#> 38    24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 71.1  24.00      0  51        0         0
#> 186.2 24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 19    24.00      0  57        0         1
#> 162.2 24.00      0  51        0         0
#> 44.3  24.00      0  56        0         0
#> 3     24.00      0  31        1         0
#> 38.1  24.00      0  31        1         0
#> 132.1 24.00      0  55        0         0
#> 147   24.00      0  76        1         0
#> 17    24.00      0  38        0         1
#> 182.1 24.00      0  35        0         0
#> 1     24.00      0  23        1         0
#> 193.1 24.00      0  45        0         1
#> 152.1 24.00      0  36        0         1
#> 116.1 24.00      0  58        0         1
#> 11.1  24.00      0  42        0         1
#> 131   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 82    24.00      0  34        0         0
#> 135   24.00      0  58        1         0
#> 142   24.00      0  53        0         0
#> 83.1  24.00      0   6        0         0
#> 198.1 24.00      0  66        0         1
#> 200.1 24.00      0  64        0         0
#> 118   24.00      0  44        1         0
#> 109.1 24.00      0  48        0         0
#> 31.1  24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.992         NA        NA      NA
#> 2 age, Cure model           0.0140        NA        NA      NA
#> 3 grade_ii, Cure model      0.455         NA        NA      NA
#> 4 grade_iii, Cure model     1.07          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000782        NA        NA      NA
#> 2 grade_ii, Survival model   0.606           NA        NA      NA
#> 3 grade_iii, Survival model  0.334           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.99229           0.01403           0.45484           1.06941  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    252.5 
#> Residual Deviance: 241.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.99228544       0.01403321       0.45483905       1.06940754 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0007823629     0.6057032095     0.3337222256 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.01859551 0.01859551 0.70690328 0.98524806 0.36063900 0.43233957
#>   [7] 0.89390472 0.43233957 0.94018742 0.22611793 0.38113688 0.30850448
#>  [13] 0.12403582 0.27526011 0.27526011 0.89390472 0.77375545 0.42210759
#>  [19] 0.85465834 0.87040376 0.49148445 0.62071490 0.51053336 0.68984762
#>  [25] 0.49148445 0.68124461 0.67264658 0.57580754 0.52971616 0.97032176
#>  [31] 0.47158135 0.57580754 0.54843703 0.38113688 0.77375545 0.81464488
#>  [37] 0.08958754 0.72381184 0.59422972 0.83868458 0.85465834 0.63832424
#>  [43] 0.83064246 0.63832424 0.46160573 0.19831841 0.25159242 0.22611793
#>  [49] 0.07069542 0.69841392 0.30850448 0.98524806 0.36063900 0.16798257
#>  [55] 0.27526011 0.80648570 0.95526691 0.73223152 0.48156460 0.13915251
#>  [61] 0.19831841 0.54843703 0.75726761 0.94018742 0.79025253 0.54843703
#>  [67] 0.35002083 0.90945837 0.62071490 0.59422972 0.40167573 0.74065395
#>  [73] 0.79025253 0.71539571 0.10731732 0.75726761 0.92491754 0.96281746
#>  [79] 0.59422972 0.52015366 0.81464488 0.74065395 0.97780725 0.63832424
#>  [85] 0.25159242 0.43233957 0.66401026 0.13915251 0.92491754 0.87825839
#>  [91] 0.90945837 0.52971616 0.18312463 0.87825839 0.05209642 0.41188698
#>  [97] 0.30850448 0.84670028 0.30850448 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    24  24.1     6    91   128   170    93 170.1   187   139   150    90    63 
#> 23.89 23.89 15.64  5.33 20.35 19.54 10.33 19.54  9.92 21.49 20.33 20.94 22.77 
#>    99  99.1  93.1    81   105    43   107    41   181   184    26  41.1   100 
#> 21.19 21.19 10.33 14.06 19.75 12.10 11.18 18.02 16.46 17.77 15.77 18.02 16.07 
#>   188    23   111    77    88  23.1    45 150.1  81.1   140   164   157   106 
#> 16.16 16.92 17.45  7.27 18.37 16.92 17.42 20.33 14.06 12.68 23.60 15.10 16.67 
#>    42  43.1   192   177    85    58   136   153 139.1   168   125  90.1  91.1 
#> 12.43 12.10 16.44 12.53 16.44 19.34 21.83 21.33 21.49 23.72 15.65 20.94  5.33 
#> 128.1   169  99.2    14    16   180    51    15 136.1  45.1    57 187.1    60 
#> 20.35 22.41 21.19 12.89  8.71 14.82 18.23 22.68 21.83 17.42 14.46  9.92 13.15 
#>  45.2    32    61 181.1 106.1   158    96  60.1    18    69  57.1   145   149 
#> 17.42 20.90 10.12 16.46 16.67 20.14 14.54 13.15 15.21 23.23 14.46 10.07  8.37 
#> 106.2   110 140.1  96.1    25 192.1 153.1 170.2     5  15.1 145.1    10  61.1 
#> 16.67 17.56 12.68 14.54  6.32 16.44 21.33 19.54 16.43 22.68 10.07 10.53 10.12 
#> 111.1    66  10.1    86   166  90.2    49  90.3    98  98.1   119    62   173 
#> 17.45 22.13 10.53 23.81 19.98 20.94 12.19 20.94 24.00 24.00 24.00 24.00 24.00 
#>   120    44   102    12    48    33 119.1   182  48.1   185   132   162   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   103    67 173.1  44.1   186   198  62.1    34   196   141    71 102.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193   116 173.2    31 103.1   200  12.1   176   109    83   152   156 162.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151    95    11    65 119.2 186.1    84     7  44.2    38 141.1   122  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.2    27    19 162.2  44.3     3  38.1 132.1   147    17 182.1     1 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1 116.1  11.1   131   161    82   135   142  83.1 198.1 200.1   118 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[38]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007064583               0.191977719               0.095455983 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.80659569              0.01912557              0.01275597 
#>   grade_iii, Cure model 
#>              0.39482706 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 58    19.34      1  39        0         0
#> 63    22.77      1  31        1         0
#> 114   13.68      1  NA        0         0
#> 101    9.97      1  10        0         1
#> 18    15.21      1  49        1         0
#> 14    12.89      1  21        0         0
#> 15    22.68      1  48        0         0
#> 81    14.06      1  34        0         0
#> 90    20.94      1  50        0         1
#> 30    17.43      1  78        0         0
#> 96    14.54      1  33        0         1
#> 187    9.92      1  39        1         0
#> 177   12.53      1  75        0         0
#> 197   21.60      1  69        1         0
#> 108   18.29      1  39        0         1
#> 85    16.44      1  36        0         0
#> 14.1  12.89      1  21        0         0
#> 158   20.14      1  74        1         0
#> 86    23.81      1  58        0         1
#> 63.1  22.77      1  31        1         0
#> 66    22.13      1  53        0         0
#> 197.1 21.60      1  69        1         0
#> 124    9.73      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 25     6.32      1  34        1         0
#> 108.1 18.29      1  39        0         1
#> 23    16.92      1  61        0         0
#> 154   12.63      1  20        1         0
#> 43    12.10      1  61        0         1
#> 55    19.34      1  69        0         1
#> 188   16.16      1  46        0         1
#> 168   23.72      1  70        0         0
#> 57    14.46      1  45        0         1
#> 190   20.81      1  42        1         0
#> 85.1  16.44      1  36        0         0
#> 168.1 23.72      1  70        0         0
#> 10    10.53      1  34        0         0
#> 125   15.65      1  67        1         0
#> 56    12.21      1  60        0         0
#> 100   16.07      1  60        0         0
#> 110   17.56      1  65        0         1
#> 24    23.89      1  38        0         0
#> 85.2  16.44      1  36        0         0
#> 14.2  12.89      1  21        0         0
#> 183    9.24      1  67        1         0
#> 127    3.53      1  62        0         1
#> 60    13.15      1  38        1         0
#> 140.1 12.68      1  59        1         0
#> 37    12.52      1  57        1         0
#> 13    14.34      1  54        0         1
#> 107   11.18      1  54        1         0
#> 55.1  19.34      1  69        0         1
#> 124.1  9.73      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 66.1  22.13      1  53        0         0
#> 110.1 17.56      1  65        0         1
#> 129   23.41      1  53        1         0
#> 177.1 12.53      1  75        0         0
#> 4     17.64      1  NA        0         1
#> 41    18.02      1  40        1         0
#> 117   17.46      1  26        0         1
#> 96.1  14.54      1  33        0         1
#> 90.1  20.94      1  50        0         1
#> 139   21.49      1  63        1         0
#> 139.1 21.49      1  63        1         0
#> 175   21.91      1  43        0         0
#> 175.1 21.91      1  43        0         0
#> 61    10.12      1  36        0         1
#> 190.1 20.81      1  42        1         0
#> 194   22.40      1  38        0         1
#> 197.2 21.60      1  69        1         0
#> 18.1  15.21      1  49        1         0
#> 155   13.08      1  26        0         0
#> 111   17.45      1  47        0         1
#> 108.2 18.29      1  39        0         1
#> 133   14.65      1  57        0         0
#> 41.1  18.02      1  40        1         0
#> 197.3 21.60      1  69        1         0
#> 181   16.46      1  45        0         1
#> 5     16.43      1  51        0         1
#> 179   18.63      1  42        0         0
#> 134   17.81      1  47        1         0
#> 60.1  13.15      1  38        1         0
#> 154.1 12.63      1  20        1         0
#> 170   19.54      1  43        0         1
#> 51    18.23      1  83        0         1
#> 40    18.00      1  28        1         0
#> 40.1  18.00      1  28        1         0
#> 23.1  16.92      1  61        0         0
#> 145   10.07      1  65        1         0
#> 57.1  14.46      1  45        0         1
#> 114.1 13.68      1  NA        0         0
#> 159   10.55      1  50        0         1
#> 16     8.71      1  71        0         1
#> 70     7.38      1  30        1         0
#> 111.1 17.45      1  47        0         1
#> 77     7.27      1  67        0         1
#> 77.1   7.27      1  67        0         1
#> 13.1  14.34      1  54        0         1
#> 23.2  16.92      1  61        0         0
#> 189   10.51      1  NA        1         0
#> 197.4 21.60      1  69        1         0
#> 18.2  15.21      1  49        1         0
#> 50    10.02      1  NA        1         0
#> 177.2 12.53      1  75        0         0
#> 69    23.23      1  25        0         1
#> 158.1 20.14      1  74        1         0
#> 194.1 22.40      1  38        0         1
#> 10.1  10.53      1  34        0         0
#> 49    12.19      1  48        1         0
#> 187.1  9.92      1  39        1         0
#> 86.1  23.81      1  58        0         1
#> 182   24.00      0  35        0         0
#> 162   24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 65    24.00      0  57        1         0
#> 22    24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 82    24.00      0  34        0         0
#> 73    24.00      0  NA        0         1
#> 120   24.00      0  68        0         1
#> 48    24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 74    24.00      0  43        0         1
#> 1     24.00      0  23        1         0
#> 152   24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 75    24.00      0  21        1         0
#> 48.1  24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 191   24.00      0  60        0         1
#> 54    24.00      0  53        1         0
#> 135   24.00      0  58        1         0
#> 22.1  24.00      0  52        1         0
#> 174   24.00      0  49        1         0
#> 34    24.00      0  36        0         0
#> 172   24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 9     24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 121   24.00      0  57        1         0
#> 84    24.00      0  39        0         1
#> 48.2  24.00      0  31        1         0
#> 82.1  24.00      0  34        0         0
#> 38    24.00      0  31        1         0
#> 38.1  24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 22.2  24.00      0  52        1         0
#> 163   24.00      0  66        0         0
#> 109   24.00      0  48        0         0
#> 34.1  24.00      0  36        0         0
#> 174.1 24.00      0  49        1         0
#> 118   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 200   24.00      0  64        0         0
#> 73.1  24.00      0  NA        0         1
#> 11.1  24.00      0  42        0         1
#> 53.1  24.00      0  32        0         1
#> 80    24.00      0  41        0         0
#> 186   24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 1.1   24.00      0  23        1         0
#> 178   24.00      0  52        1         0
#> 162.1 24.00      0  51        0         0
#> 147.1 24.00      0  76        1         0
#> 119   24.00      0  17        0         0
#> 44    24.00      0  56        0         0
#> 19.1  24.00      0  57        0         1
#> 147.2 24.00      0  76        1         0
#> 54.1  24.00      0  53        1         0
#> 160   24.00      0  31        1         0
#> 47.1  24.00      0  38        0         1
#> 11.2  24.00      0  42        0         1
#> 173   24.00      0  19        0         1
#> 11.3  24.00      0  42        0         1
#> 21    24.00      0  47        0         0
#> 75.1  24.00      0  21        1         0
#> 67    24.00      0  25        0         0
#> 152.1 24.00      0  36        0         1
#> 34.2  24.00      0  36        0         0
#> 191.1 24.00      0  60        0         1
#> 200.1 24.00      0  64        0         0
#> 138   24.00      0  44        1         0
#> 121.1 24.00      0  57        1         0
#> 102   24.00      0  49        0         0
#> 71.1  24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 64    24.00      0  43        0         0
#> 137   24.00      0  45        1         0
#> 73.2  24.00      0  NA        0         1
#> 12    24.00      0  63        0         0
#> 141   24.00      0  44        1         0
#> 48.3  24.00      0  31        1         0
#> 173.1 24.00      0  19        0         1
#> 137.1 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.807         NA        NA      NA
#> 2 age, Cure model           0.0191        NA        NA      NA
#> 3 grade_ii, Cure model      0.0128        NA        NA      NA
#> 4 grade_iii, Cure model     0.395         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00706        NA        NA      NA
#> 2 grade_ii, Survival model   0.192          NA        NA      NA
#> 3 grade_iii, Survival model  0.0955         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.80660           0.01913           0.01276           0.39483  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    259.7 
#> Residual Deviance: 254.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.80659569       0.01912557       0.01275597       0.39482706 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007064583      0.191977719      0.095455983 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.215884106 0.037200508 0.881805888 0.504664420 0.655246889 0.049213394
#>   [7] 0.611334658 0.156851099 0.382586593 0.546742583 0.893534759 0.732469296
#>  [13] 0.097280412 0.251291135 0.432386574 0.655246889 0.190009232 0.005533943
#>  [19] 0.037200508 0.068924649 0.097280412 0.688082161 0.976077526 0.251291135
#>  [25] 0.392481617 0.710293726 0.800477491 0.215884106 0.473121691 0.013595057
#>  [31] 0.568099918 0.173350788 0.432386574 0.013595057 0.835191145 0.494087174
#>  [37] 0.777514903 0.483565174 0.334516788 0.001496246 0.432386574 0.655246889
#>  [43] 0.916887387 0.988017763 0.622332917 0.688082161 0.766103203 0.589618677
#>  [49] 0.812017439 0.215884106 0.148576145 0.068924649 0.334516788 0.024295094
#>  [55] 0.732469296 0.287708852 0.353576978 0.546742583 0.156851099 0.132673319
#>  [61] 0.132673319 0.082782426 0.082782426 0.858377297 0.173350788 0.055891045
#>  [67] 0.097280412 0.504664420 0.644191519 0.363261452 0.251291135 0.536012045
#>  [73] 0.287708852 0.097280412 0.422192300 0.462725278 0.242120815 0.325014583
#>  [79] 0.622332917 0.710293726 0.207090162 0.278281975 0.306358242 0.306358242
#>  [85] 0.392481617 0.870073100 0.568099918 0.823585770 0.928676066 0.940514907
#>  [91] 0.363261452 0.952356695 0.952356695 0.589618677 0.392481617 0.097280412
#>  [97] 0.504664420 0.732469296 0.030692593 0.190009232 0.055891045 0.835191145
#> [103] 0.788984767 0.893534759 0.005533943 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    58    63   101    18    14    15    81    90    30    96   187   177   197 
#> 19.34 22.77  9.97 15.21 12.89 22.68 14.06 20.94 17.43 14.54  9.92 12.53 21.60 
#>   108    85  14.1   158    86  63.1    66 197.1   140    25 108.1    23   154 
#> 18.29 16.44 12.89 20.14 23.81 22.77 22.13 21.60 12.68  6.32 18.29 16.92 12.63 
#>    43    55   188   168    57   190  85.1 168.1    10   125    56   100   110 
#> 12.10 19.34 16.16 23.72 14.46 20.81 16.44 23.72 10.53 15.65 12.21 16.07 17.56 
#>    24  85.2  14.2   183   127    60 140.1    37    13   107  55.1    36  66.1 
#> 23.89 16.44 12.89  9.24  3.53 13.15 12.68 12.52 14.34 11.18 19.34 21.19 22.13 
#> 110.1   129 177.1    41   117  96.1  90.1   139 139.1   175 175.1    61 190.1 
#> 17.56 23.41 12.53 18.02 17.46 14.54 20.94 21.49 21.49 21.91 21.91 10.12 20.81 
#>   194 197.2  18.1   155   111 108.2   133  41.1 197.3   181     5   179   134 
#> 22.40 21.60 15.21 13.08 17.45 18.29 14.65 18.02 21.60 16.46 16.43 18.63 17.81 
#>  60.1 154.1   170    51    40  40.1  23.1   145  57.1   159    16    70 111.1 
#> 13.15 12.63 19.54 18.23 18.00 18.00 16.92 10.07 14.46 10.55  8.71  7.38 17.45 
#>    77  77.1  13.1  23.2 197.4  18.2 177.2    69 158.1 194.1  10.1    49 187.1 
#>  7.27  7.27 14.34 16.92 21.60 15.21 12.53 23.23 20.14 22.40 10.53 12.19  9.92 
#>  86.1   182   162   146    65    22   193    82   120    48    19    74     1 
#> 23.81 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152    71   143    47   147    75  48.1    53   191    54   135  22.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   172    11     9    31   132   121    84  48.2  82.1    38  38.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.2   163   109  34.1 174.1   118   126   200  11.1  53.1    80   186    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1   178 162.1 147.1   119    44  19.1 147.2  54.1   160  47.1  11.2   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.3    21  75.1    67 152.1  34.2 191.1 200.1   138 121.1   102  71.1   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64   137    12   141  48.3 173.1 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[39]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01216238                0.61765817                0.31323193 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.776540616             0.009893608             0.512366729 
#>   grade_iii, Cure model 
#>             1.090539436 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 23    16.92      1  61        0         0
#> 55    19.34      1  69        0         1
#> 41    18.02      1  40        1         0
#> 77     7.27      1  67        0         1
#> 32    20.90      1  37        1         0
#> 194   22.40      1  38        0         1
#> 125   15.65      1  67        1         0
#> 36    21.19      1  48        0         1
#> 139   21.49      1  63        1         0
#> 50    10.02      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 150   20.33      1  48        0         0
#> 150.1 20.33      1  48        0         0
#> 60    13.15      1  38        1         0
#> 59    10.16      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 26    15.77      1  49        0         1
#> 6     15.64      1  39        0         0
#> 70     7.38      1  30        1         0
#> 111.1 17.45      1  47        0         1
#> 117   17.46      1  26        0         1
#> 79    16.23      1  54        1         0
#> 105   19.75      1  60        0         0
#> 96    14.54      1  33        0         1
#> 177   12.53      1  75        0         0
#> 78    23.88      1  43        0         0
#> 88    18.37      1  47        0         0
#> 169   22.41      1  46        0         0
#> 117.1 17.46      1  26        0         1
#> 117.2 17.46      1  26        0         1
#> 190   20.81      1  42        1         0
#> 69    23.23      1  25        0         1
#> 106   16.67      1  49        1         0
#> 43    12.10      1  61        0         1
#> 190.1 20.81      1  42        1         0
#> 150.2 20.33      1  48        0         0
#> 49    12.19      1  48        1         0
#> 79.1  16.23      1  54        1         0
#> 139.1 21.49      1  63        1         0
#> 181   16.46      1  45        0         1
#> 99    21.19      1  38        0         1
#> 37    12.52      1  57        1         0
#> 110   17.56      1  65        0         1
#> 181.1 16.46      1  45        0         1
#> 88.1  18.37      1  47        0         0
#> 154   12.63      1  20        1         0
#> 42    12.43      1  49        0         1
#> 189   10.51      1  NA        1         0
#> 69.1  23.23      1  25        0         1
#> 140   12.68      1  59        1         0
#> 16     8.71      1  71        0         1
#> 86    23.81      1  58        0         1
#> 42.1  12.43      1  49        0         1
#> 134   17.81      1  47        1         0
#> 153   21.33      1  55        1         0
#> 36.1  21.19      1  48        0         1
#> 114   13.68      1  NA        0         0
#> 101    9.97      1  10        0         1
#> 177.1 12.53      1  75        0         0
#> 111.2 17.45      1  47        0         1
#> 100   16.07      1  60        0         0
#> 128   20.35      1  35        0         1
#> 169.1 22.41      1  46        0         0
#> 139.2 21.49      1  63        1         0
#> 123   13.00      1  44        1         0
#> 192   16.44      1  31        1         0
#> 99.1  21.19      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 133   14.65      1  57        0         0
#> 49.1  12.19      1  48        1         0
#> 177.2 12.53      1  75        0         0
#> 136   21.83      1  43        0         1
#> 60.1  13.15      1  38        1         0
#> 108   18.29      1  39        0         1
#> 92    22.92      1  47        0         1
#> 169.2 22.41      1  46        0         0
#> 8     18.43      1  32        0         0
#> 100.1 16.07      1  60        0         0
#> 76    19.22      1  54        0         1
#> 166   19.98      1  48        0         0
#> 32.1  20.90      1  37        1         0
#> 153.1 21.33      1  55        1         0
#> 77.1   7.27      1  67        0         1
#> 89    11.44      1  NA        0         0
#> 91     5.33      1  61        0         1
#> 107   11.18      1  54        1         0
#> 187    9.92      1  39        1         0
#> 66    22.13      1  53        0         0
#> 60.2  13.15      1  38        1         0
#> 123.1 13.00      1  44        1         0
#> 79.2  16.23      1  54        1         0
#> 108.1 18.29      1  39        0         1
#> 181.2 16.46      1  45        0         1
#> 97    19.14      1  65        0         1
#> 167   15.55      1  56        1         0
#> 166.1 19.98      1  48        0         0
#> 32.2  20.90      1  37        1         0
#> 155   13.08      1  26        0         0
#> 128.1 20.35      1  35        0         1
#> 133.1 14.65      1  57        0         0
#> 97.1  19.14      1  65        0         1
#> 128.2 20.35      1  35        0         1
#> 166.2 19.98      1  48        0         0
#> 78.1  23.88      1  43        0         0
#> 76.1  19.22      1  54        0         1
#> 59.1  10.16      1  NA        1         0
#> 91.1   5.33      1  61        0         1
#> 96.1  14.54      1  33        0         1
#> 149    8.37      1  33        1         0
#> 136.1 21.83      1  43        0         1
#> 25     6.32      1  34        1         0
#> 57    14.46      1  45        0         1
#> 162   24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 31    24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 135.1 24.00      0  58        1         0
#> 17    24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 193   24.00      0  45        0         1
#> 75    24.00      0  21        1         0
#> 73    24.00      0  NA        0         1
#> 31.1  24.00      0  36        0         1
#> 94    24.00      0  51        0         1
#> 135.2 24.00      0  58        1         0
#> 64    24.00      0  43        0         0
#> 135.3 24.00      0  58        1         0
#> 162.1 24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 3     24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 135.4 24.00      0  58        1         0
#> 21    24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 196   24.00      0  19        0         0
#> 62    24.00      0  71        0         0
#> 102   24.00      0  49        0         0
#> 21.1  24.00      0  47        0         0
#> 65    24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 138   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 109   24.00      0  48        0         0
#> 119   24.00      0  17        0         0
#> 47    24.00      0  38        0         1
#> 193.1 24.00      0  45        0         1
#> 156   24.00      0  50        1         0
#> 65.1  24.00      0  57        1         0
#> 142   24.00      0  53        0         0
#> 65.2  24.00      0  57        1         0
#> 122   24.00      0  66        0         0
#> 152   24.00      0  36        0         1
#> 98    24.00      0  34        1         0
#> 172   24.00      0  41        0         0
#> 53    24.00      0  32        0         1
#> 2     24.00      0   9        0         0
#> 64.1  24.00      0  43        0         0
#> 9     24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 200   24.00      0  64        0         0
#> 94.1  24.00      0  51        0         1
#> 115.1 24.00      0  NA        1         0
#> 21.2  24.00      0  47        0         0
#> 112.1 24.00      0  61        0         0
#> 54    24.00      0  53        1         0
#> 198   24.00      0  66        0         1
#> 196.1 24.00      0  19        0         0
#> 84    24.00      0  39        0         1
#> 163   24.00      0  66        0         0
#> 3.1   24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 176   24.00      0  43        0         1
#> 198.1 24.00      0  66        0         1
#> 178   24.00      0  52        1         0
#> 75.2  24.00      0  21        1         0
#> 87    24.00      0  27        0         0
#> 33    24.00      0  53        0         0
#> 12    24.00      0  63        0         0
#> 17.1  24.00      0  38        0         1
#> 200.1 24.00      0  64        0         0
#> 152.1 24.00      0  36        0         1
#> 112.2 24.00      0  61        0         0
#> 94.2  24.00      0  51        0         1
#> 135.5 24.00      0  58        1         0
#> 137   24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 138.1 24.00      0  44        1         0
#> 115.2 24.00      0  NA        1         0
#> 137.1 24.00      0  45        1         0
#> 12.1  24.00      0  63        0         0
#> 119.1 24.00      0  17        0         0
#> 156.1 24.00      0  50        1         0
#> 53.1  24.00      0  32        0         1
#> 67    24.00      0  25        0         0
#> 148   24.00      0  61        1         0
#> 198.2 24.00      0  66        0         1
#> 17.2  24.00      0  38        0         1
#> 162.2 24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.777          NA        NA      NA
#> 2 age, Cure model          0.00989        NA        NA      NA
#> 3 grade_ii, Cure model     0.512          NA        NA      NA
#> 4 grade_iii, Cure model    1.09           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0122        NA        NA      NA
#> 2 grade_ii, Survival model    0.618         NA        NA      NA
#> 3 grade_iii, Survival model   0.313         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.776541          0.009894          0.512367          1.090539  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    259.7 
#> Residual Deviance: 250.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.776540616      0.009893608      0.512366729      1.090539436 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01216238       0.61765817       0.31323193 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7843400 0.6654876 0.7314812 0.9813021 0.5397413 0.3731491 0.8471627
#>   [8] 0.5016637 0.4437855 0.7673642 0.6058885 0.6058885 0.8851797 0.6582148
#>  [15] 0.8421861 0.8520478 0.9774584 0.7673642 0.7498367 0.8170077 0.6508354
#>  [22] 0.8711709 0.9206517 0.1111370 0.7059631 0.3144348 0.7498367 0.7498367
#>  [29] 0.5658948 0.2365799 0.7899948 0.9538078 0.5658948 0.6058885 0.9457295
#>  [36] 0.8170077 0.4437855 0.7955554 0.5016637 0.9333028 0.7438239 0.7955554
#>  [43] 0.7059631 0.9163263 0.9374875 0.2365799 0.9119728 0.9696926 0.2010420
#>  [50] 0.9374875 0.7377116 0.4800563 0.5016637 0.9617966 0.9206517 0.7673642
#>  [57] 0.8321748 0.5823963 0.3144348 0.4437855 0.9031692 0.8116632 0.5016637
#>  [64] 0.8617115 0.9457295 0.9206517 0.4111876 0.8851797 0.7188578 0.2898327
#>  [71] 0.3144348 0.6993930 0.8321748 0.6725923 0.6286803 0.5397413 0.4800563
#>  [78] 0.9813021 0.9926071 0.9578237 0.9657606 0.3925850 0.8851797 0.9031692
#>  [85] 0.8170077 0.7188578 0.7955554 0.6862562 0.8569159 0.6286803 0.5397413
#>  [92] 0.8986611 0.5823963 0.8617115 0.6862562 0.5823963 0.6286803 0.1111370
#>  [99] 0.6725923 0.9926071 0.8711709 0.9735892 0.4111876 0.9888512 0.8805243
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    23    55    41    77    32   194   125    36   139   111   150 150.1    60 
#> 16.92 19.34 18.02  7.27 20.90 22.40 15.65 21.19 21.49 17.45 20.33 20.33 13.15 
#>   170    26     6    70 111.1   117    79   105    96   177    78    88   169 
#> 19.54 15.77 15.64  7.38 17.45 17.46 16.23 19.75 14.54 12.53 23.88 18.37 22.41 
#> 117.1 117.2   190    69   106    43 190.1 150.2    49  79.1 139.1   181    99 
#> 17.46 17.46 20.81 23.23 16.67 12.10 20.81 20.33 12.19 16.23 21.49 16.46 21.19 
#>    37   110 181.1  88.1   154    42  69.1   140    16    86  42.1   134   153 
#> 12.52 17.56 16.46 18.37 12.63 12.43 23.23 12.68  8.71 23.81 12.43 17.81 21.33 
#>  36.1   101 177.1 111.2   100   128 169.1 139.2   123   192  99.1   133  49.1 
#> 21.19  9.97 12.53 17.45 16.07 20.35 22.41 21.49 13.00 16.44 21.19 14.65 12.19 
#> 177.2   136  60.1   108    92 169.2     8 100.1    76   166  32.1 153.1  77.1 
#> 12.53 21.83 13.15 18.29 22.92 22.41 18.43 16.07 19.22 19.98 20.90 21.33  7.27 
#>    91   107   187    66  60.2 123.1  79.2 108.1 181.2    97   167 166.1  32.2 
#>  5.33 11.18  9.92 22.13 13.15 13.00 16.23 18.29 16.46 19.14 15.55 19.98 20.90 
#>   155 128.1 133.1  97.1 128.2 166.2  78.1  76.1  91.1  96.1   149 136.1    25 
#> 13.08 20.35 14.65 19.14 20.35 19.98 23.88 19.22  5.33 14.54  8.37 21.83  6.32 
#>    57   162   135    31 135.1    17   161   193    75  31.1    94 135.2    64 
#> 14.46 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.3 162.1   131     3   112 135.4    21   118    95   196    62   102  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65    83   138   151   109   119    47 193.1   156  65.1   142  65.2   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152    98   172    53     2  64.1     9    20   200  94.1  21.2 112.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198 196.1    84   163   3.1  75.1   176 198.1   178  75.2    87    33    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1 200.1 152.1 112.2  94.2 135.5   137    27    35 138.1 137.1  12.1 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.1  53.1    67   148 198.2  17.2 162.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[40]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.00847354                0.05209230               -0.17497931 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.76171785              0.01138337              0.37860406 
#>   grade_iii, Cure model 
#>              1.11539844 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 111   17.45      1  47        0         1
#> 158   20.14      1  74        1         0
#> 171   16.57      1  41        0         1
#> 14    12.89      1  21        0         0
#> 128   20.35      1  35        0         1
#> 197   21.60      1  69        1         0
#> 181   16.46      1  45        0         1
#> 158.1 20.14      1  74        1         0
#> 18    15.21      1  49        1         0
#> 171.1 16.57      1  41        0         1
#> 123   13.00      1  44        1         0
#> 194.1 22.40      1  38        0         1
#> 155   13.08      1  26        0         0
#> 18.1  15.21      1  49        1         0
#> 86    23.81      1  58        0         1
#> 97    19.14      1  65        0         1
#> 179   18.63      1  42        0         0
#> 167   15.55      1  56        1         0
#> 130   16.47      1  53        0         1
#> 50    10.02      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 139   21.49      1  63        1         0
#> 43    12.10      1  61        0         1
#> 177   12.53      1  75        0         0
#> 155.1 13.08      1  26        0         0
#> 24    23.89      1  38        0         0
#> 108   18.29      1  39        0         1
#> 127    3.53      1  62        0         1
#> 195   11.76      1  NA        1         0
#> 158.2 20.14      1  74        1         0
#> 123.1 13.00      1  44        1         0
#> 51    18.23      1  83        0         1
#> 180   14.82      1  37        0         0
#> 18.2  15.21      1  49        1         0
#> 18.3  15.21      1  49        1         0
#> 43.1  12.10      1  61        0         1
#> 89    11.44      1  NA        0         0
#> 45    17.42      1  54        0         1
#> 39    15.59      1  37        0         1
#> 150   20.33      1  48        0         0
#> 8     18.43      1  32        0         0
#> 77     7.27      1  67        0         1
#> 90    20.94      1  50        0         1
#> 69    23.23      1  25        0         1
#> 136   21.83      1  43        0         1
#> 63    22.77      1  31        1         0
#> 166   19.98      1  48        0         0
#> 43.2  12.10      1  61        0         1
#> 52    10.42      1  52        0         1
#> 25     6.32      1  34        1         0
#> 170   19.54      1  43        0         1
#> 177.1 12.53      1  75        0         0
#> 190   20.81      1  42        1         0
#> 32.1  20.90      1  37        1         0
#> 60    13.15      1  38        1         0
#> 154   12.63      1  20        1         0
#> 154.1 12.63      1  20        1         0
#> 40    18.00      1  28        1         0
#> 136.1 21.83      1  43        0         1
#> 92    22.92      1  47        0         1
#> 56    12.21      1  60        0         0
#> 170.1 19.54      1  43        0         1
#> 180.1 14.82      1  37        0         0
#> 13    14.34      1  54        0         1
#> 39.1  15.59      1  37        0         1
#> 183    9.24      1  67        1         0
#> 183.1  9.24      1  67        1         0
#> 105   19.75      1  60        0         0
#> 139.1 21.49      1  63        1         0
#> 88    18.37      1  47        0         0
#> 136.2 21.83      1  43        0         1
#> 169   22.41      1  46        0         0
#> 18.4  15.21      1  49        1         0
#> 56.1  12.21      1  60        0         0
#> 155.2 13.08      1  26        0         0
#> 57    14.46      1  45        0         1
#> 88.1  18.37      1  47        0         0
#> 40.1  18.00      1  28        1         0
#> 140   12.68      1  59        1         0
#> 69.1  23.23      1  25        0         1
#> 158.3 20.14      1  74        1         0
#> 167.1 15.55      1  56        1         0
#> 32.2  20.90      1  37        1         0
#> 66    22.13      1  53        0         0
#> 29    15.45      1  68        1         0
#> 129   23.41      1  53        1         0
#> 55    19.34      1  69        0         1
#> 149    8.37      1  33        1         0
#> 150.1 20.33      1  48        0         0
#> 159   10.55      1  50        0         1
#> 199   19.81      1  NA        0         1
#> 183.2  9.24      1  67        1         0
#> 6     15.64      1  39        0         0
#> 177.2 12.53      1  75        0         0
#> 96    14.54      1  33        0         1
#> 37    12.52      1  57        1         0
#> 123.2 13.00      1  44        1         0
#> 18.5  15.21      1  49        1         0
#> 101    9.97      1  10        0         1
#> 194.2 22.40      1  38        0         1
#> 36    21.19      1  48        0         1
#> 107   11.18      1  54        1         0
#> 91     5.33      1  61        0         1
#> 105.1 19.75      1  60        0         0
#> 177.3 12.53      1  75        0         0
#> 181.1 16.46      1  45        0         1
#> 23    16.92      1  61        0         0
#> 117   17.46      1  26        0         1
#> 150.2 20.33      1  48        0         0
#> 180.2 14.82      1  37        0         0
#> 59    10.16      1  NA        1         0
#> 12    24.00      0  63        0         0
#> 109   24.00      0  48        0         0
#> 73    24.00      0  NA        0         1
#> 33    24.00      0  53        0         0
#> 109.1 24.00      0  48        0         0
#> 74    24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 71    24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 44    24.00      0  56        0         0
#> 75    24.00      0  21        1         0
#> 121   24.00      0  57        1         0
#> 3     24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 200   24.00      0  64        0         0
#> 1     24.00      0  23        1         0
#> 72    24.00      0  40        0         1
#> 116   24.00      0  58        0         1
#> 20    24.00      0  46        1         0
#> 35    24.00      0  51        0         0
#> 1.1   24.00      0  23        1         0
#> 200.1 24.00      0  64        0         0
#> 83    24.00      0   6        0         0
#> 163   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 122   24.00      0  66        0         0
#> 196   24.00      0  19        0         0
#> 146   24.00      0  63        1         0
#> 94    24.00      0  51        0         1
#> 196.1 24.00      0  19        0         0
#> 116.1 24.00      0  58        0         1
#> 116.2 24.00      0  58        0         1
#> 122.1 24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 132   24.00      0  55        0         0
#> 148   24.00      0  61        1         0
#> 38.1  24.00      0  31        1         0
#> 12.1  24.00      0  63        0         0
#> 73.1  24.00      0  NA        0         1
#> 163.1 24.00      0  66        0         0
#> 73.2  24.00      0  NA        0         1
#> 22.1  24.00      0  52        1         0
#> 156   24.00      0  50        1         0
#> 144   24.00      0  28        0         1
#> 109.2 24.00      0  48        0         0
#> 3.1   24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 176   24.00      0  43        0         1
#> 62    24.00      0  71        0         0
#> 7     24.00      0  37        1         0
#> 44.1  24.00      0  56        0         0
#> 141   24.00      0  44        1         0
#> 38.2  24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 152   24.00      0  36        0         1
#> 47.1  24.00      0  38        0         1
#> 162   24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 19    24.00      0  57        0         1
#> 185   24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 48    24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 122.2 24.00      0  66        0         0
#> 141.1 24.00      0  44        1         0
#> 9.1   24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 73.3  24.00      0  NA        0         1
#> 7.1   24.00      0  37        1         0
#> 9.2   24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 161   24.00      0  45        0         0
#> 131.1 24.00      0  66        0         0
#> 22.2  24.00      0  52        1         0
#> 75.1  24.00      0  21        1         0
#> 174   24.00      0  49        1         0
#> 2     24.00      0   9        0         0
#> 132.1 24.00      0  55        0         0
#> 142   24.00      0  53        0         0
#> 191   24.00      0  60        0         1
#> 103.1 24.00      0  56        1         0
#> 176.1 24.00      0  43        0         1
#> 200.2 24.00      0  64        0         0
#> 98    24.00      0  34        1         0
#> 19.1  24.00      0  57        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.762         NA        NA      NA
#> 2 age, Cure model           0.0114        NA        NA      NA
#> 3 grade_ii, Cure model      0.379         NA        NA      NA
#> 4 grade_iii, Cure model     1.12          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00847        NA        NA      NA
#> 2 grade_ii, Survival model   0.0521         NA        NA      NA
#> 3 grade_iii, Survival model -0.175          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.76172           0.01138           0.37860           1.11540  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 252.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.76171785       0.01138337       0.37860406       1.11539844 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.00847354       0.05209230      -0.17497931 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.16921918 0.57758921 0.40337416 0.60223404 0.82675544 0.36256075
#>   [7] 0.26103673 0.62642020 0.40337416 0.68949185 0.60223404 0.80557697
#>  [13] 0.16921918 0.78409958 0.68949185 0.04930891 0.49299927 0.50175142
#>  [19] 0.66617981 0.61834497 0.31990399 0.27368597 0.90215073 0.85493973
#>  [25] 0.78409958 0.02388863 0.53594730 0.99359753 0.40337416 0.80557697
#>  [31] 0.54442555 0.73300003 0.68949185 0.68949185 0.90215073 0.58585489
#>  [37] 0.65036040 0.37331005 0.51043881 0.97428675 0.30838510 0.08899490
#>  [43] 0.22335316 0.13792585 0.43951126 0.90215073 0.93525268 0.98074081
#>  [49] 0.46652792 0.85493973 0.35177011 0.31990399 0.77682451 0.84092851
#>  [55] 0.84092851 0.55281289 0.22335316 0.12118504 0.88874792 0.46652792
#>  [61] 0.73300003 0.76951841 0.65036040 0.94846708 0.94846708 0.44873997
#>  [67] 0.27368597 0.51908039 0.22335316 0.15395028 0.68949185 0.88874792
#>  [73] 0.78409958 0.76218958 0.51908039 0.55281289 0.83386416 0.08899490
#>  [79] 0.40337416 0.66617981 0.31990399 0.20949928 0.68174308 0.07091301
#>  [85] 0.48417566 0.96781206 0.37331005 0.92863326 0.94846708 0.64237296
#>  [91] 0.85493973 0.75484457 0.88195289 0.80557697 0.68949185 0.94185788
#>  [97] 0.16921918 0.29674350 0.92200049 0.98717770 0.44873997 0.85493973
#> [103] 0.62642020 0.59408267 0.56929383 0.37331005 0.73300003 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   194   111   158   171    14   128   197   181 158.1    18 171.1   123 194.1 
#> 22.40 17.45 20.14 16.57 12.89 20.35 21.60 16.46 20.14 15.21 16.57 13.00 22.40 
#>   155  18.1    86    97   179   167   130    32   139    43   177 155.1    24 
#> 13.08 15.21 23.81 19.14 18.63 15.55 16.47 20.90 21.49 12.10 12.53 13.08 23.89 
#>   108   127 158.2 123.1    51   180  18.2  18.3  43.1    45    39   150     8 
#> 18.29  3.53 20.14 13.00 18.23 14.82 15.21 15.21 12.10 17.42 15.59 20.33 18.43 
#>    77    90    69   136    63   166  43.2    52    25   170 177.1   190  32.1 
#>  7.27 20.94 23.23 21.83 22.77 19.98 12.10 10.42  6.32 19.54 12.53 20.81 20.90 
#>    60   154 154.1    40 136.1    92    56 170.1 180.1    13  39.1   183 183.1 
#> 13.15 12.63 12.63 18.00 21.83 22.92 12.21 19.54 14.82 14.34 15.59  9.24  9.24 
#>   105 139.1    88 136.2   169  18.4  56.1 155.2    57  88.1  40.1   140  69.1 
#> 19.75 21.49 18.37 21.83 22.41 15.21 12.21 13.08 14.46 18.37 18.00 12.68 23.23 
#> 158.3 167.1  32.2    66    29   129    55   149 150.1   159 183.2     6 177.2 
#> 20.14 15.55 20.90 22.13 15.45 23.41 19.34  8.37 20.33 10.55  9.24 15.64 12.53 
#>    96    37 123.2  18.5   101 194.2    36   107    91 105.1 177.3 181.1    23 
#> 14.54 12.52 13.00 15.21  9.97 22.40 21.19 11.18  5.33 19.75 12.53 16.46 16.92 
#>   117 150.2 180.2    12   109    33 109.1    74   172    71    22    44    75 
#> 17.46 20.33 14.82 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121     3    38   103   200     1    72   116    20    35   1.1 200.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163    47   122   196   146    94 196.1 116.1 116.2 122.1   126   132   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.1  12.1 163.1  22.1   156   144 109.2   3.1     9    28   176    62     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.1   141  38.2   119   152  47.1   162   178    84    19   185    11    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1 122.2 141.1   9.1   131   7.1   9.2   104   161 131.1  22.2  75.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2 132.1   142   191 103.1 176.1 200.2    98  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[41]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0007586918              0.4734692230              0.1612825614 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.94700613              0.01957017             -0.25446870 
#>   grade_iii, Cure model 
#>              0.98941411 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 49    12.19      1  48        1         0
#> 49.1  12.19      1  48        1         0
#> 181   16.46      1  45        0         1
#> 140   12.68      1  59        1         0
#> 58    19.34      1  39        0         0
#> 26    15.77      1  49        0         1
#> 145   10.07      1  65        1         0
#> 6     15.64      1  39        0         0
#> 52    10.42      1  52        0         1
#> 136   21.83      1  43        0         1
#> 68    20.62      1  44        0         0
#> 136.1 21.83      1  43        0         1
#> 149    8.37      1  33        1         0
#> 16     8.71      1  71        0         1
#> 175   21.91      1  43        0         0
#> 181.1 16.46      1  45        0         1
#> 130   16.47      1  53        0         1
#> 177   12.53      1  75        0         0
#> 133   14.65      1  57        0         0
#> 40    18.00      1  28        1         0
#> 18    15.21      1  49        1         0
#> 49.2  12.19      1  48        1         0
#> 155   13.08      1  26        0         0
#> 170   19.54      1  43        0         1
#> 129   23.41      1  53        1         0
#> 88    18.37      1  47        0         0
#> 164   23.60      1  76        0         1
#> 45    17.42      1  54        0         1
#> 70     7.38      1  30        1         0
#> 24    23.89      1  38        0         0
#> 150   20.33      1  48        0         0
#> 51    18.23      1  83        0         1
#> 39    15.59      1  37        0         1
#> 90    20.94      1  50        0         1
#> 167   15.55      1  56        1         0
#> 93    10.33      1  52        0         1
#> 111   17.45      1  47        0         1
#> 32    20.90      1  37        1         0
#> 128   20.35      1  35        0         1
#> 154   12.63      1  20        1         0
#> 63    22.77      1  31        1         0
#> 133.1 14.65      1  57        0         0
#> 92    22.92      1  47        0         1
#> 41    18.02      1  40        1         0
#> 68.1  20.62      1  44        0         0
#> 145.1 10.07      1  65        1         0
#> 45.1  17.42      1  54        0         1
#> 81    14.06      1  34        0         0
#> 30    17.43      1  78        0         0
#> 97    19.14      1  65        0         1
#> 106   16.67      1  49        1         0
#> 125   15.65      1  67        1         0
#> 101    9.97      1  10        0         1
#> 37    12.52      1  57        1         0
#> 157   15.10      1  47        0         0
#> 39.1  15.59      1  37        0         1
#> 86    23.81      1  58        0         1
#> 30.1  17.43      1  78        0         0
#> 55    19.34      1  69        0         1
#> 99    21.19      1  38        0         1
#> 108   18.29      1  39        0         1
#> 149.1  8.37      1  33        1         0
#> 69    23.23      1  25        0         1
#> 180   14.82      1  37        0         0
#> 25     6.32      1  34        1         0
#> 159   10.55      1  50        0         1
#> 81.1  14.06      1  34        0         0
#> 128.1 20.35      1  35        0         1
#> 68.2  20.62      1  44        0         0
#> 13    14.34      1  54        0         1
#> 197   21.60      1  69        1         0
#> 30.2  17.43      1  78        0         0
#> 59    10.16      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 127    3.53      1  62        0         1
#> 166   19.98      1  48        0         0
#> 91     5.33      1  61        0         1
#> 153   21.33      1  55        1         0
#> 175.1 21.91      1  43        0         0
#> 24.1  23.89      1  38        0         0
#> 5     16.43      1  51        0         1
#> 66    22.13      1  53        0         0
#> 129.1 23.41      1  53        1         0
#> 51.1  18.23      1  83        0         1
#> 111.1 17.45      1  47        0         1
#> 42    12.43      1  49        0         1
#> 59.1  10.16      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 199   19.81      1  NA        0         1
#> 117   17.46      1  26        0         1
#> 164.1 23.60      1  76        0         1
#> 101.1  9.97      1  10        0         1
#> 91.1   5.33      1  61        0         1
#> 4     17.64      1  NA        0         1
#> 110   17.56      1  65        0         1
#> 113   22.86      1  34        0         0
#> 194   22.40      1  38        0         1
#> 108.1 18.29      1  39        0         1
#> 97.1  19.14      1  65        0         1
#> 6.1   15.64      1  39        0         0
#> 106.1 16.67      1  49        1         0
#> 114.1 13.68      1  NA        0         0
#> 105   19.75      1  60        0         0
#> 49.3  12.19      1  48        1         0
#> 39.2  15.59      1  37        0         1
#> 195   11.76      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 36    21.19      1  48        0         1
#> 23    16.92      1  61        0         0
#> 52.1  10.42      1  52        0         1
#> 56.1  12.21      1  60        0         0
#> 4.1   17.64      1  NA        0         1
#> 122   24.00      0  66        0         0
#> 83    24.00      0   6        0         0
#> 121   24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 3     24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 137   24.00      0  45        1         0
#> 135   24.00      0  58        1         0
#> 176   24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 3.1   24.00      0  31        1         0
#> 3.2   24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 12    24.00      0  63        0         0
#> 2     24.00      0   9        0         0
#> 83.1  24.00      0   6        0         0
#> 64    24.00      0  43        0         0
#> 126   24.00      0  48        0         0
#> 137.1 24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 22    24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 27    24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 156   24.00      0  50        1         0
#> 193   24.00      0  45        0         1
#> 83.2  24.00      0   6        0         0
#> 178   24.00      0  52        1         0
#> 1     24.00      0  23        1         0
#> 186   24.00      0  45        1         0
#> 20    24.00      0  46        1         0
#> 72.1  24.00      0  40        0         1
#> 2.1   24.00      0   9        0         0
#> 1.1   24.00      0  23        1         0
#> 148   24.00      0  61        1         0
#> 142   24.00      0  53        0         0
#> 176.1 24.00      0  43        0         1
#> 126.1 24.00      0  48        0         0
#> 74    24.00      0  43        0         1
#> 115   24.00      0  NA        1         0
#> 146   24.00      0  63        1         0
#> 151   24.00      0  42        0         0
#> 173   24.00      0  19        0         1
#> 131   24.00      0  66        0         0
#> 156.1 24.00      0  50        1         0
#> 148.1 24.00      0  61        1         0
#> 33    24.00      0  53        0         0
#> 131.1 24.00      0  66        0         0
#> 198   24.00      0  66        0         1
#> 193.1 24.00      0  45        0         1
#> 95    24.00      0  68        0         1
#> 173.1 24.00      0  19        0         1
#> 147   24.00      0  76        1         0
#> 20.1  24.00      0  46        1         0
#> 200   24.00      0  64        0         0
#> 33.1  24.00      0  53        0         0
#> 191   24.00      0  60        0         1
#> 137.2 24.00      0  45        1         0
#> 53    24.00      0  32        0         1
#> 200.1 24.00      0  64        0         0
#> 75    24.00      0  21        1         0
#> 118   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 19    24.00      0  57        0         1
#> 182.1 24.00      0  35        0         0
#> 156.2 24.00      0  50        1         0
#> 34    24.00      0  36        0         0
#> 7     24.00      0  37        1         0
#> 126.2 24.00      0  48        0         0
#> 173.2 24.00      0  19        0         1
#> 33.2  24.00      0  53        0         0
#> 191.1 24.00      0  60        0         1
#> 67    24.00      0  25        0         0
#> 98.1  24.00      0  34        1         0
#> 48    24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 48.1  24.00      0  31        1         0
#> 98.2  24.00      0  34        1         0
#> 118.1 24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 21.1  24.00      0  47        0         0
#> 3.3   24.00      0  31        1         0
#> 115.1 24.00      0  NA        1         0
#> 54    24.00      0  53        1         0
#> 200.2 24.00      0  64        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.947         NA        NA      NA
#> 2 age, Cure model           0.0196        NA        NA      NA
#> 3 grade_ii, Cure model     -0.254         NA        NA      NA
#> 4 grade_iii, Cure model     0.989         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000759        NA        NA      NA
#> 2 grade_ii, Survival model   0.473           NA        NA      NA
#> 3 grade_iii, Survival model  0.161           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.94701           0.01957          -0.25447           0.98941  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 244.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.94700613       0.01957017      -0.25446870       0.98941411 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0007586918     0.4734692230     0.1612825614 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.83621923 0.83621923 0.59138777 0.77612275 0.36634510 0.62733983
#>   [7] 0.90254555 0.64518218 0.87760362 0.19647287 0.27869752 0.19647287
#>  [13] 0.94357543 0.93535680 0.17495034 0.59138777 0.58228392 0.79341325
#>  [19] 0.72396951 0.46240568 0.69780529 0.83621923 0.76739763 0.35651213
#>  [25] 0.08392530 0.40494733 0.05748742 0.53648520 0.95978207 0.01482519
#>  [31] 0.32693648 0.43383527 0.66285042 0.25861298 0.68902740 0.89421234
#>  [37] 0.49055114 0.26876047 0.30755871 0.78479568 0.14169382 0.72396951
#>  [43] 0.11837591 0.45288917 0.27869752 0.90254555 0.53648520 0.75005042
#>  [49] 0.50899143 0.38570332 0.56418242 0.63629389 0.91897550 0.80203600
#>  [55] 0.70652320 0.66285042 0.04149520 0.50899143 0.36634510 0.23861532
#>  [61] 0.41469467 0.94357543 0.10657631 0.71524488 0.96788078 0.86923899
#>  [67] 0.75005042 0.30755871 0.27869752 0.74133125 0.21767905 0.50899143
#>  [73] 0.99196399 0.33678398 0.97594142 0.22827670 0.17495034 0.01482519
#>  [79] 0.61836884 0.16388295 0.08392530 0.43383527 0.49055114 0.81060920
#>  [85] 0.60938086 0.48119520 0.05748742 0.91897550 0.97594142 0.47181152
#>  [91] 0.13002121 0.15284521 0.41469467 0.38570332 0.64518218 0.56418242
#>  [97] 0.34664180 0.83621923 0.66285042 0.81917044 0.23861532 0.55489357
#> [103] 0.87760362 0.81917044 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    49  49.1   181   140    58    26   145     6    52   136    68 136.1   149 
#> 12.19 12.19 16.46 12.68 19.34 15.77 10.07 15.64 10.42 21.83 20.62 21.83  8.37 
#>    16   175 181.1   130   177   133    40    18  49.2   155   170   129    88 
#>  8.71 21.91 16.46 16.47 12.53 14.65 18.00 15.21 12.19 13.08 19.54 23.41 18.37 
#>   164    45    70    24   150    51    39    90   167    93   111    32   128 
#> 23.60 17.42  7.38 23.89 20.33 18.23 15.59 20.94 15.55 10.33 17.45 20.90 20.35 
#>   154    63 133.1    92    41  68.1 145.1  45.1    81    30    97   106   125 
#> 12.63 22.77 14.65 22.92 18.02 20.62 10.07 17.42 14.06 17.43 19.14 16.67 15.65 
#>   101    37   157  39.1    86  30.1    55    99   108 149.1    69   180    25 
#>  9.97 12.52 15.10 15.59 23.81 17.43 19.34 21.19 18.29  8.37 23.23 14.82  6.32 
#>   159  81.1 128.1  68.2    13   197  30.2   127   166    91   153 175.1  24.1 
#> 10.55 14.06 20.35 20.62 14.34 21.60 17.43  3.53 19.98  5.33 21.33 21.91 23.89 
#>     5    66 129.1  51.1 111.1    42   192   117 164.1 101.1  91.1   110   113 
#> 16.43 22.13 23.41 18.23 17.45 12.43 16.44 17.46 23.60  9.97  5.33 17.56 22.86 
#>   194 108.1  97.1   6.1 106.1   105  49.3  39.2    56    36    23  52.1  56.1 
#> 22.40 18.29 19.14 15.64 16.67 19.75 12.19 15.59 12.21 21.19 16.92 10.42 12.21 
#>   122    83   121    28     3   182   137   135   176   112   3.1   3.2    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12     2  83.1    64   126 137.1   163     9  64.1    22    94    27    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156   193  83.2   178     1   186    20  72.1   2.1   1.1   148   142 176.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 126.1    74   146   151   173   131 156.1 148.1    33 131.1   198 193.1    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.1   147  20.1   200  33.1   191 137.2    53 200.1    75   118    82    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1 156.2    34     7 126.2 173.2  33.2 191.1    67  98.1    48    38    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1  98.2 118.1    31  21.1   3.3    54 200.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[42]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004508687               0.364469861               0.212310945 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.526157388            -0.000614379             0.590330703 
#>   grade_iii, Cure model 
#>             1.572347964 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 93    10.33      1  52        0         1
#> 55    19.34      1  69        0         1
#> 52    10.42      1  52        0         1
#> 39    15.59      1  37        0         1
#> 145   10.07      1  65        1         0
#> 189   10.51      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 101    9.97      1  10        0         1
#> 90    20.94      1  50        0         1
#> 14    12.89      1  21        0         0
#> 26    15.77      1  49        0         1
#> 8     18.43      1  32        0         0
#> 192   16.44      1  31        1         0
#> 63    22.77      1  31        1         0
#> 91     5.33      1  61        0         1
#> 69    23.23      1  25        0         1
#> 180   14.82      1  37        0         0
#> 139   21.49      1  63        1         0
#> 170   19.54      1  43        0         1
#> 123   13.00      1  44        1         0
#> 159   10.55      1  50        0         1
#> 13    14.34      1  54        0         1
#> 60    13.15      1  38        1         0
#> 6     15.64      1  39        0         0
#> 55.1  19.34      1  69        0         1
#> 92    22.92      1  47        0         1
#> 159.1 10.55      1  50        0         1
#> 108   18.29      1  39        0         1
#> 187    9.92      1  39        1         0
#> 81    14.06      1  34        0         0
#> 171   16.57      1  41        0         1
#> 177   12.53      1  75        0         0
#> 42    12.43      1  49        0         1
#> 15    22.68      1  48        0         0
#> 149    8.37      1  33        1         0
#> 114   13.68      1  NA        0         0
#> 81.1  14.06      1  34        0         0
#> 153   21.33      1  55        1         0
#> 77     7.27      1  67        0         1
#> 55.2  19.34      1  69        0         1
#> 8.1   18.43      1  32        0         0
#> 171.1 16.57      1  41        0         1
#> 125   15.65      1  67        1         0
#> 171.2 16.57      1  41        0         1
#> 59    10.16      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 134   17.81      1  47        1         0
#> 125.1 15.65      1  67        1         0
#> 171.3 16.57      1  41        0         1
#> 13.1  14.34      1  54        0         1
#> 57    14.46      1  45        0         1
#> 110   17.56      1  65        0         1
#> 70     7.38      1  30        1         0
#> 128   20.35      1  35        0         1
#> 125.2 15.65      1  67        1         0
#> 77.1   7.27      1  67        0         1
#> 61    10.12      1  36        0         1
#> 92.1  22.92      1  47        0         1
#> 183    9.24      1  67        1         0
#> 49    12.19      1  48        1         0
#> 50    10.02      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 60.1  13.15      1  38        1         0
#> 199   19.81      1  NA        0         1
#> 13.2  14.34      1  54        0         1
#> 128.1 20.35      1  35        0         1
#> 183.1  9.24      1  67        1         0
#> 134.1 17.81      1  47        1         0
#> 40    18.00      1  28        1         0
#> 86    23.81      1  58        0         1
#> 169   22.41      1  46        0         0
#> 113   22.86      1  34        0         0
#> 24    23.89      1  38        0         0
#> 164   23.60      1  76        0         1
#> 150   20.33      1  48        0         0
#> 127    3.53      1  62        0         1
#> 59.1  10.16      1  NA        1         0
#> 189.1 10.51      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 158   20.14      1  74        1         0
#> 190   20.81      1  42        1         0
#> 190.1 20.81      1  42        1         0
#> 68    20.62      1  44        0         0
#> 49.1  12.19      1  48        1         0
#> 97    19.14      1  65        0         1
#> 93.1  10.33      1  52        0         1
#> 14.1  12.89      1  21        0         0
#> 68.1  20.62      1  44        0         0
#> 52.1  10.42      1  52        0         1
#> 93.2  10.33      1  52        0         1
#> 128.2 20.35      1  35        0         1
#> 66    22.13      1  53        0         0
#> 106   16.67      1  49        1         0
#> 157   15.10      1  47        0         0
#> 190.2 20.81      1  42        1         0
#> 199.1 19.81      1  NA        0         1
#> 111   17.45      1  47        0         1
#> 45    17.42      1  54        0         1
#> 149.1  8.37      1  33        1         0
#> 59.2  10.16      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 10    10.53      1  34        0         0
#> 125.3 15.65      1  67        1         0
#> 111.1 17.45      1  47        0         1
#> 108.1 18.29      1  39        0         1
#> 197   21.60      1  69        1         0
#> 139.1 21.49      1  63        1         0
#> 194   22.40      1  38        0         1
#> 14.2  12.89      1  21        0         0
#> 59.3  10.16      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 85    16.44      1  36        0         0
#> 137   24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 28    24.00      0  67        1         0
#> 73    24.00      0  NA        0         1
#> 9     24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 20    24.00      0  46        1         0
#> 126   24.00      0  48        0         0
#> 121   24.00      0  57        1         0
#> 47    24.00      0  38        0         1
#> 144   24.00      0  28        0         1
#> 132   24.00      0  55        0         0
#> 120   24.00      0  68        0         1
#> 11    24.00      0  42        0         1
#> 198   24.00      0  66        0         1
#> 112   24.00      0  61        0         0
#> 95    24.00      0  68        0         1
#> 9.1   24.00      0  31        1         0
#> 132.1 24.00      0  55        0         0
#> 109   24.00      0  48        0         0
#> 115   24.00      0  NA        1         0
#> 71    24.00      0  51        0         0
#> 109.1 24.00      0  48        0         0
#> 87    24.00      0  27        0         0
#> 132.2 24.00      0  55        0         0
#> 193   24.00      0  45        0         1
#> 126.1 24.00      0  48        0         0
#> 156   24.00      0  50        1         0
#> 186   24.00      0  45        1         0
#> 103   24.00      0  56        1         0
#> 131   24.00      0  66        0         0
#> 28.1  24.00      0  67        1         0
#> 143   24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 147   24.00      0  76        1         0
#> 198.1 24.00      0  66        0         1
#> 131.1 24.00      0  66        0         0
#> 121.1 24.00      0  57        1         0
#> 47.1  24.00      0  38        0         1
#> 64.1  24.00      0  43        0         0
#> 144.1 24.00      0  28        0         1
#> 33    24.00      0  53        0         0
#> 119   24.00      0  17        0         0
#> 162   24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 109.2 24.00      0  48        0         0
#> 186.1 24.00      0  45        1         0
#> 67    24.00      0  25        0         0
#> 1     24.00      0  23        1         0
#> 165   24.00      0  47        0         0
#> 109.3 24.00      0  48        0         0
#> 109.4 24.00      0  48        0         0
#> 82    24.00      0  34        0         0
#> 156.1 24.00      0  50        1         0
#> 118   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 44    24.00      0  56        0         0
#> 152   24.00      0  36        0         1
#> 21    24.00      0  47        0         0
#> 185   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 185.1 24.00      0  44        1         0
#> 132.3 24.00      0  55        0         0
#> 144.2 24.00      0  28        0         1
#> 182   24.00      0  35        0         0
#> 160   24.00      0  31        1         0
#> 121.2 24.00      0  57        1         0
#> 162.1 24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 82.1  24.00      0  34        0         0
#> 160.1 24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 74    24.00      0  43        0         1
#> 80    24.00      0  41        0         0
#> 122   24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 148   24.00      0  61        1         0
#> 11.1  24.00      0  42        0         1
#> 22    24.00      0  52        1         0
#> 64.2  24.00      0  43        0         0
#> 20.1  24.00      0  46        1         0
#> 162.2 24.00      0  51        0         0
#> 144.3 24.00      0  28        0         1
#> 67.1  24.00      0  25        0         0
#> 119.1 24.00      0  17        0         0
#> 185.2 24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 182.1 24.00      0  35        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.526           NA        NA      NA
#> 2 age, Cure model         -0.000614        NA        NA      NA
#> 3 grade_ii, Cure model     0.590           NA        NA      NA
#> 4 grade_iii, Cure model    1.57            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00451        NA        NA      NA
#> 2 grade_ii, Survival model   0.364          NA        NA      NA
#> 3 grade_iii, Survival model  0.212          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.5261574        -0.0006144         0.5903307         1.5723480  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 238.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.526157388     -0.000614379      0.590330703      1.572347964 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004508687      0.364469861      0.212310945 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.841354335 0.285472610 0.821420966 0.582631651 0.881123955 0.424956191
#>   [7] 0.891139776 0.167851640 0.721917398 0.523945345 0.324995333 0.504134168
#>  [13] 0.074527395 0.980191309 0.034798061 0.602574860 0.137266073 0.275423751
#>  [19] 0.711942469 0.791511891 0.632591297 0.682115240 0.572668151 0.285472610
#>  [25] 0.045345840 0.791511891 0.345126980 0.901135151 0.662164752 0.455232640
#>  [31] 0.751540167 0.761585453 0.084601056 0.930915494 0.662164752 0.157481611
#>  [37] 0.960501106 0.285472610 0.324995333 0.455232640 0.533948027 0.455232640
#>  [43] 0.375325899 0.533948027 0.455232640 0.632591297 0.622590403 0.395101508
#>  [49] 0.950622509 0.226485705 0.533948027 0.960501106 0.871099701 0.045345840
#>  [55] 0.911107563 0.771631878 0.612587991 0.682115240 0.632591297 0.226485705
#>  [61] 0.911107563 0.375325899 0.365215444 0.013709797 0.094914906 0.064101485
#>  [67] 0.004183835 0.023935347 0.255300567 0.990092433 0.265368107 0.178230231
#>  [73] 0.178230231 0.206702990 0.771631878 0.314854548 0.841354335 0.721917398
#>  [79] 0.206702990 0.821420966 0.841354335 0.226485705 0.115930190 0.445161609
#>  [85] 0.592587233 0.178230231 0.405135980 0.435055296 0.930915494 0.494109036
#>  [91] 0.811398442 0.533948027 0.405135980 0.345126980 0.126622486 0.137266073
#>  [97] 0.105443996 0.721917398 0.701942228 0.504134168 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    93    55    52    39   145    30   101    90    14    26     8   192    63 
#> 10.33 19.34 10.42 15.59 10.07 17.43  9.97 20.94 12.89 15.77 18.43 16.44 22.77 
#>    91    69   180   139   170   123   159    13    60     6  55.1    92 159.1 
#>  5.33 23.23 14.82 21.49 19.54 13.00 10.55 14.34 13.15 15.64 19.34 22.92 10.55 
#>   108   187    81   171   177    42    15   149  81.1   153    77  55.2   8.1 
#> 18.29  9.92 14.06 16.57 12.53 12.43 22.68  8.37 14.06 21.33  7.27 19.34 18.43 
#> 171.1   125 171.2   134 125.1 171.3  13.1    57   110    70   128 125.2  77.1 
#> 16.57 15.65 16.57 17.81 15.65 16.57 14.34 14.46 17.56  7.38 20.35 15.65  7.27 
#>    61  92.1   183    49    96  60.1  13.2 128.1 183.1 134.1    40    86   169 
#> 10.12 22.92  9.24 12.19 14.54 13.15 14.34 20.35  9.24 17.81 18.00 23.81 22.41 
#>   113    24   164   150   127   158   190 190.1    68  49.1    97  93.1  14.1 
#> 22.86 23.89 23.60 20.33  3.53 20.14 20.81 20.81 20.62 12.19 19.14 10.33 12.89 
#>  68.1  52.1  93.2 128.2    66   106   157 190.2   111    45 149.1   130    10 
#> 20.62 10.42 10.33 20.35 22.13 16.67 15.10 20.81 17.45 17.42  8.37 16.47 10.53 
#> 125.3 111.1 108.1   197 139.1   194  14.2   155    85   137   151    28     9 
#> 15.65 17.45 18.29 21.60 21.49 22.40 12.89 13.08 16.44 24.00 24.00 24.00 24.00 
#>    64    20   126   121    47   144   132   120    11   198   112    95   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1   109    71 109.1    87 132.2   193 126.1   156   186   103   131  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143    53   147 198.1 131.1 121.1  47.1  64.1 144.1    33   119   162    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.2 186.1    67     1   165 109.3 109.4    82 156.1   118   146    44   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   185   174 185.1 132.3 144.2   182   160 121.2 162.1    38  82.1 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62    74    80   122   176   148  11.1    22  64.2  20.1 162.2 144.3  67.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1 185.2   163 182.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[43]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001549032               0.415251798               0.398173490 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.873558055             0.008367851             0.281030945 
#>   grade_iii, Cure model 
#>             1.574944541 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 8     18.43      1  32        0         0
#> 175   21.91      1  43        0         0
#> 136   21.83      1  43        0         1
#> 180   14.82      1  37        0         0
#> 32    20.90      1  37        1         0
#> 51    18.23      1  83        0         1
#> 181   16.46      1  45        0         1
#> 39    15.59      1  37        0         1
#> 93    10.33      1  52        0         1
#> 190   20.81      1  42        1         0
#> 123   13.00      1  44        1         0
#> 4     17.64      1  NA        0         1
#> 108   18.29      1  39        0         1
#> 195   11.76      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 4.1   17.64      1  NA        0         1
#> 128   20.35      1  35        0         1
#> 113   22.86      1  34        0         0
#> 140   12.68      1  59        1         0
#> 37    12.52      1  57        1         0
#> 108.1 18.29      1  39        0         1
#> 61    10.12      1  36        0         1
#> 100   16.07      1  60        0         0
#> 129   23.41      1  53        1         0
#> 194   22.40      1  38        0         1
#> 37.1  12.52      1  57        1         0
#> 187    9.92      1  39        1         0
#> 139   21.49      1  63        1         0
#> 89    11.44      1  NA        0         0
#> 150   20.33      1  48        0         0
#> 197   21.60      1  69        1         0
#> 195.1 11.76      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 179   18.63      1  42        0         0
#> 78    23.88      1  43        0         0
#> 159   10.55      1  50        0         1
#> 68    20.62      1  44        0         0
#> 188   16.16      1  46        0         1
#> 41    18.02      1  40        1         0
#> 114   13.68      1  NA        0         0
#> 76    19.22      1  54        0         1
#> 114.1 13.68      1  NA        0         0
#> 8.1   18.43      1  32        0         0
#> 101    9.97      1  10        0         1
#> 60    13.15      1  38        1         0
#> 90    20.94      1  50        0         1
#> 16.1   8.71      1  71        0         1
#> 124    9.73      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 133   14.65      1  57        0         0
#> 25     6.32      1  34        1         0
#> 114.2 13.68      1  NA        0         0
#> 158   20.14      1  74        1         0
#> 107   11.18      1  54        1         0
#> 117   17.46      1  26        0         1
#> 85    16.44      1  36        0         0
#> 37.2  12.52      1  57        1         0
#> 195.2 11.76      1  NA        1         0
#> 108.2 18.29      1  39        0         1
#> 124.1  9.73      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 26    15.77      1  49        0         1
#> 63    22.77      1  31        1         0
#> 55.1  19.34      1  69        0         1
#> 166   19.98      1  48        0         0
#> 192   16.44      1  31        1         0
#> 57    14.46      1  45        0         1
#> 127    3.53      1  62        0         1
#> 124.2  9.73      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 194.1 22.40      1  38        0         1
#> 134   17.81      1  47        1         0
#> 56    12.21      1  60        0         0
#> 81    14.06      1  34        0         0
#> 23    16.92      1  61        0         0
#> 124.3  9.73      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 108.3 18.29      1  39        0         1
#> 15    22.68      1  48        0         0
#> 197.1 21.60      1  69        1         0
#> 93.1  10.33      1  52        0         1
#> 90.1  20.94      1  50        0         1
#> 43    12.10      1  61        0         1
#> 76.1  19.22      1  54        0         1
#> 105   19.75      1  60        0         0
#> 15.1  22.68      1  48        0         0
#> 130   16.47      1  53        0         1
#> 51.1  18.23      1  83        0         1
#> 76.2  19.22      1  54        0         1
#> 93.2  10.33      1  52        0         1
#> 60.1  13.15      1  38        1         0
#> 110   17.56      1  65        0         1
#> 134.1 17.81      1  47        1         0
#> 5     16.43      1  51        0         1
#> 70     7.38      1  30        1         0
#> 25.1   6.32      1  34        1         0
#> 77.1   7.27      1  67        0         1
#> 91     5.33      1  61        0         1
#> 107.1 11.18      1  54        1         0
#> 8.2   18.43      1  32        0         0
#> 199   19.81      1  NA        0         1
#> 130.1 16.47      1  53        0         1
#> 188.1 16.16      1  46        0         1
#> 76.3  19.22      1  54        0         1
#> 25.2   6.32      1  34        1         0
#> 188.2 16.16      1  46        0         1
#> 52    10.42      1  52        0         1
#> 110.1 17.56      1  65        0         1
#> 36    21.19      1  48        0         1
#> 88    18.37      1  47        0         0
#> 92    22.92      1  47        0         1
#> 86    23.81      1  58        0         1
#> 122   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 131   24.00      0  66        0         0
#> 151   24.00      0  42        0         0
#> 9     24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 47    24.00      0  38        0         1
#> 87    24.00      0  27        0         0
#> 19    24.00      0  57        0         1
#> 112   24.00      0  61        0         0
#> 3     24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 160   24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 9.1   24.00      0  31        1         0
#> 94.1  24.00      0  51        0         1
#> 64    24.00      0  43        0         0
#> 120   24.00      0  68        0         1
#> 178   24.00      0  52        1         0
#> 115   24.00      0  NA        1         0
#> 116   24.00      0  58        0         1
#> 172   24.00      0  41        0         0
#> 115.1 24.00      0  NA        1         0
#> 118   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 11.1  24.00      0  42        0         1
#> 121   24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 174.1 24.00      0  49        1         0
#> 7.1   24.00      0  37        1         0
#> 21    24.00      0  47        0         0
#> 46    24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 182.1 24.00      0  35        0         0
#> 165   24.00      0  47        0         0
#> 104.1 24.00      0  50        1         0
#> 73    24.00      0  NA        0         1
#> 9.2   24.00      0  31        1         0
#> 122.1 24.00      0  66        0         0
#> 38    24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 162.1 24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 75    24.00      0  21        1         0
#> 65    24.00      0  57        1         0
#> 2     24.00      0   9        0         0
#> 84    24.00      0  39        0         1
#> 83    24.00      0   6        0         0
#> 151.1 24.00      0  42        0         0
#> 163.1 24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 28    24.00      0  67        1         0
#> 31    24.00      0  36        0         1
#> 22    24.00      0  52        1         0
#> 143   24.00      0  51        0         0
#> 122.2 24.00      0  66        0         0
#> 47.1  24.00      0  38        0         1
#> 48    24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 193   24.00      0  45        0         1
#> 44.1  24.00      0  56        0         0
#> 118.1 24.00      0  44        1         0
#> 9.3   24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 121.1 24.00      0  57        1         0
#> 44.2  24.00      0  56        0         0
#> 2.1   24.00      0   9        0         0
#> 143.1 24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 126.1 24.00      0  48        0         0
#> 118.2 24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 163.2 24.00      0  66        0         0
#> 163.3 24.00      0  66        0         0
#> 165.1 24.00      0  47        0         0
#> 143.2 24.00      0  51        0         0
#> 65.1  24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 120.1 24.00      0  68        0         1
#> 82    24.00      0  34        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.874          NA        NA      NA
#> 2 age, Cure model          0.00837        NA        NA      NA
#> 3 grade_ii, Cure model     0.281          NA        NA      NA
#> 4 grade_iii, Cure model    1.57           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00155        NA        NA      NA
#> 2 grade_ii, Survival model   0.415          NA        NA      NA
#> 3 grade_iii, Survival model  0.398          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.873558          0.008368          0.281031          1.574945  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    252.8 
#> Residual Deviance: 231.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.873558055      0.008367851      0.281030945      1.574944541 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001549032      0.415251798      0.398173490 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.48996323 0.21705929 0.23205494 0.75027799 0.32142657 0.56456294
#>   [7] 0.66909343 0.74231069 0.88775728 0.33310150 0.79753510 0.52829433
#>  [13] 0.93081642 0.35593092 0.12039120 0.80529275 0.82070107 0.52829433
#>  [19] 0.90929588 0.72622336 0.08081919 0.18797133 0.82070107 0.92367506
#>  [25] 0.27251608 0.36712719 0.24649884 0.41105365 0.48020084 0.02188940
#>  [31] 0.87302192 0.34452953 0.70225462 0.58259015 0.44227581 0.48996323
#>  [37] 0.91649992 0.78200182 0.29799631 0.93081642 0.60911627 0.75824030
#>  [43] 0.96583098 0.37829719 0.85823533 0.63513504 0.67747453 0.82070107
#>  [49] 0.52829433 0.42177720 0.73429374 0.13888487 0.42177720 0.38924144
#>  [55] 0.67747453 0.76619490 0.99317977 0.81300140 0.18797133 0.59158877
#>  [61] 0.84317393 0.77410054 0.64372899 0.95193999 0.52829433 0.15603767
#>  [67] 0.24649884 0.88775728 0.29799631 0.85072585 0.44227581 0.40016201
#>  [73] 0.15603767 0.65231159 0.56456294 0.44227581 0.88775728 0.78200182
#>  [79] 0.61793625 0.59158877 0.69400169 0.94490177 0.96583098 0.95193999
#>  [85] 0.98632948 0.85823533 0.48996323 0.65231159 0.70225462 0.44227581
#>  [91] 0.96583098 0.70225462 0.88040853 0.61793625 0.28542784 0.51858602
#>  [97] 0.10174871 0.05578829 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>     8   175   136   180    32    51   181    39    93   190   123   108    16 
#> 18.43 21.91 21.83 14.82 20.90 18.23 16.46 15.59 10.33 20.81 13.00 18.29  8.71 
#>   128   113   140    37 108.1    61   100   129   194  37.1   187   139   150 
#> 20.35 22.86 12.68 12.52 18.29 10.12 16.07 23.41 22.40 12.52  9.92 21.49 20.33 
#>   197   170   179    78   159    68   188    41    76   8.1   101    60    90 
#> 21.60 19.54 18.63 23.88 10.55 20.62 16.16 18.02 19.22 18.43  9.97 13.15 20.94 
#>  16.1   184   133    25   158   107   117    85  37.2 108.2    55    26    63 
#>  8.71 17.77 14.65  6.32 20.14 11.18 17.46 16.44 12.52 18.29 19.34 15.77 22.77 
#>  55.1   166   192    57   127   177 194.1   134    56    81    23    77 108.3 
#> 19.34 19.98 16.44 14.46  3.53 12.53 22.40 17.81 12.21 14.06 16.92  7.27 18.29 
#>    15 197.1  93.1  90.1    43  76.1   105  15.1   130  51.1  76.2  93.2  60.1 
#> 22.68 21.60 10.33 20.94 12.10 19.22 19.75 22.68 16.47 18.23 19.22 10.33 13.15 
#>   110 134.1     5    70  25.1  77.1    91 107.1   8.2 130.1 188.1  76.3  25.2 
#> 17.56 17.81 16.43  7.38  6.32  7.27  5.33 11.18 18.43 16.47 16.16 19.22  6.32 
#> 188.2    52 110.1    36    88    92    86   122   104    11   131   151     9 
#> 16.16 10.42 17.56 21.19 18.37 22.92 23.81 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7    47    87    19   112     3   174   160   163    94   9.1  94.1    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120   178   116   172   118   162   182  11.1   121    54 174.1   7.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46   146   148 182.1   165 104.1   9.2 122.1    38   152 162.1   126    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65     2    84    83 151.1 163.1   176    28    31    22   143 122.2  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48 160.1    44   193  44.1 118.1   9.3   109 121.1  44.2   2.1 143.1   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72 126.1 118.2 146.1    35    80 163.2 163.3 165.1 143.2  65.1   138 120.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[44]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008207378               0.660766570               0.252837131 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.310423097             0.003764411             0.220584127 
#>   grade_iii, Cure model 
#>             0.843922592 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 154   12.63      1  20        1         0
#> 14    12.89      1  21        0         0
#> 197   21.60      1  69        1         0
#> 63    22.77      1  31        1         0
#> 69    23.23      1  25        0         1
#> 18    15.21      1  49        1         0
#> 111   17.45      1  47        0         1
#> 106   16.67      1  49        1         0
#> 58    19.34      1  39        0         0
#> 150   20.33      1  48        0         0
#> 66    22.13      1  53        0         0
#> 180   14.82      1  37        0         0
#> 45    17.42      1  54        0         1
#> 167   15.55      1  56        1         0
#> 25     6.32      1  34        1         0
#> 189   10.51      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 167.1 15.55      1  56        1         0
#> 77     7.27      1  67        0         1
#> 6     15.64      1  39        0         0
#> 169   22.41      1  46        0         0
#> 105   19.75      1  60        0         0
#> 179   18.63      1  42        0         0
#> 39    15.59      1  37        0         1
#> 180.1 14.82      1  37        0         0
#> 52    10.42      1  52        0         1
#> 37    12.52      1  57        1         0
#> 51    18.23      1  83        0         1
#> 179.1 18.63      1  42        0         0
#> 180.2 14.82      1  37        0         0
#> 29    15.45      1  68        1         0
#> 192   16.44      1  31        1         0
#> 49    12.19      1  48        1         0
#> 23    16.92      1  61        0         0
#> 168   23.72      1  70        0         0
#> 55    19.34      1  69        0         1
#> 63.1  22.77      1  31        1         0
#> 139   21.49      1  63        1         0
#> 149    8.37      1  33        1         0
#> 23.1  16.92      1  61        0         0
#> 133   14.65      1  57        0         0
#> 18.1  15.21      1  49        1         0
#> 49.1  12.19      1  48        1         0
#> 86    23.81      1  58        0         1
#> 91     5.33      1  61        0         1
#> 180.3 14.82      1  37        0         0
#> 194   22.40      1  38        0         1
#> 59    10.16      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 49.2  12.19      1  48        1         0
#> 45.1  17.42      1  54        0         1
#> 133.1 14.65      1  57        0         0
#> 93    10.33      1  52        0         1
#> 40    18.00      1  28        1         0
#> 168.1 23.72      1  70        0         0
#> 100   16.07      1  60        0         0
#> 168.2 23.72      1  70        0         0
#> 170   19.54      1  43        0         1
#> 114   13.68      1  NA        0         0
#> 29.1  15.45      1  68        1         0
#> 171   16.57      1  41        0         1
#> 153   21.33      1  55        1         0
#> 192.1 16.44      1  31        1         0
#> 10    10.53      1  34        0         0
#> 49.3  12.19      1  48        1         0
#> 50    10.02      1  NA        1         0
#> 168.3 23.72      1  70        0         0
#> 29.2  15.45      1  68        1         0
#> 39.1  15.59      1  37        0         1
#> 51.1  18.23      1  83        0         1
#> 114.1 13.68      1  NA        0         0
#> 199   19.81      1  NA        0         1
#> 153.1 21.33      1  55        1         0
#> 179.2 18.63      1  42        0         0
#> 184   17.77      1  38        0         0
#> 113   22.86      1  34        0         0
#> 110   17.56      1  65        0         1
#> 10.1  10.53      1  34        0         0
#> 10.2  10.53      1  34        0         0
#> 89.1  11.44      1  NA        0         0
#> 113.1 22.86      1  34        0         0
#> 25.1   6.32      1  34        1         0
#> 50.1  10.02      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 113.2 22.86      1  34        0         0
#> 145   10.07      1  65        1         0
#> 26.1  15.77      1  49        0         1
#> 184.1 17.77      1  38        0         0
#> 175   21.91      1  43        0         0
#> 123   13.00      1  44        1         0
#> 37.1  12.52      1  57        1         0
#> 76    19.22      1  54        0         1
#> 150.1 20.33      1  48        0         0
#> 197.1 21.60      1  69        1         0
#> 125   15.65      1  67        1         0
#> 136   21.83      1  43        0         1
#> 110.1 17.56      1  65        0         1
#> 93.1  10.33      1  52        0         1
#> 49.4  12.19      1  48        1         0
#> 79    16.23      1  54        1         0
#> 189.1 10.51      1  NA        1         0
#> 26.2  15.77      1  49        0         1
#> 189.2 10.51      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 61    10.12      1  36        0         1
#> 10.3  10.53      1  34        0         0
#> 32    20.90      1  37        1         0
#> 155   13.08      1  26        0         0
#> 110.2 17.56      1  65        0         1
#> 108   18.29      1  39        0         1
#> 127    3.53      1  62        0         1
#> 108.1 18.29      1  39        0         1
#> 120   24.00      0  68        0         1
#> 27    24.00      0  63        1         0
#> 182   24.00      0  35        0         0
#> 146   24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 200   24.00      0  64        0         0
#> 103   24.00      0  56        1         0
#> 9     24.00      0  31        1         0
#> 146.1 24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 54    24.00      0  53        1         0
#> 34    24.00      0  36        0         0
#> 1     24.00      0  23        1         0
#> 161   24.00      0  45        0         0
#> 46    24.00      0  71        0         0
#> 1.1   24.00      0  23        1         0
#> 46.1  24.00      0  71        0         0
#> 118   24.00      0  44        1         0
#> 185.1 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 1.2   24.00      0  23        1         0
#> 46.2  24.00      0  71        0         0
#> 3     24.00      0  31        1         0
#> 118.1 24.00      0  44        1         0
#> 118.2 24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 176   24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 102   24.00      0  49        0         0
#> 2     24.00      0   9        0         0
#> 38    24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 151   24.00      0  42        0         0
#> 3.1   24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 196.1 24.00      0  19        0         0
#> 156   24.00      0  50        1         0
#> 191   24.00      0  60        0         1
#> 116   24.00      0  58        0         1
#> 161.1 24.00      0  45        0         0
#> 161.2 24.00      0  45        0         0
#> 138   24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 46.3  24.00      0  71        0         0
#> 176.1 24.00      0  43        0         1
#> 151.1 24.00      0  42        0         0
#> 9.1   24.00      0  31        1         0
#> 2.1   24.00      0   9        0         0
#> 31    24.00      0  36        0         1
#> 103.1 24.00      0  56        1         0
#> 28    24.00      0  67        1         0
#> 46.4  24.00      0  71        0         0
#> 119   24.00      0  17        0         0
#> 162.1 24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 103.2 24.00      0  56        1         0
#> 48    24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 28.1  24.00      0  67        1         0
#> 173   24.00      0  19        0         1
#> 71    24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 146.2 24.00      0  63        1         0
#> 64.2  24.00      0  43        0         0
#> 116.1 24.00      0  58        0         1
#> 34.1  24.00      0  36        0         0
#> 7     24.00      0  37        1         0
#> 116.2 24.00      0  58        0         1
#> 151.2 24.00      0  42        0         0
#> 163   24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 17.1  24.00      0  38        0         1
#> 200.1 24.00      0  64        0         0
#> 47    24.00      0  38        0         1
#> 71.1  24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 62.1  24.00      0  71        0         0
#> 191.1 24.00      0  60        0         1
#> 73    24.00      0  NA        0         1
#> 163.1 24.00      0  66        0         0
#> 64.3  24.00      0  43        0         0
#> 3.2   24.00      0  31        1         0
#> 28.2  24.00      0  67        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.310          NA        NA      NA
#> 2 age, Cure model          0.00376        NA        NA      NA
#> 3 grade_ii, Cure model     0.221          NA        NA      NA
#> 4 grade_iii, Cure model    0.844          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00821        NA        NA      NA
#> 2 grade_ii, Survival model   0.661          NA        NA      NA
#> 3 grade_iii, Survival model  0.253          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.310423          0.003764          0.220584          0.843923  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 254.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.310423097      0.003764411      0.220584127      0.843922592 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008207378      0.660766570      0.252837131 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.752340114 0.741638354 0.142984969 0.078705162 0.033343192 0.636926130
#>   [7] 0.394806363 0.447727521 0.235458669 0.198232650 0.114036715 0.657605319
#>  [13] 0.405342400 0.584860062 0.958719646 0.042551530 0.584860062 0.948284743
#>  [19] 0.553016703 0.095665929 0.216467416 0.264291356 0.563685316 0.657605319
#>  [25] 0.875154607 0.762944859 0.313337533 0.264291356 0.657605319 0.605865462
#>  [31] 0.469256375 0.783883971 0.426327452 0.008990621 0.235458669 0.078705162
#>  [37] 0.161615223 0.937879268 0.426327452 0.698984890 0.636926130 0.783883971
#>  [43] 0.002575704 0.979269115 0.657605319 0.104828006 0.783883971 0.405342400
#>  [49] 0.698984890 0.885602405 0.333660395 0.008990621 0.500556796 0.008990621
#>  [55] 0.225944014 0.605865462 0.458481800 0.171128348 0.469256375 0.834182545
#>  [61] 0.783883971 0.008990621 0.605865462 0.563685316 0.313337533 0.171128348
#>  [67] 0.264291356 0.343812316 0.052022250 0.364133434 0.834182545 0.834182545
#>  [73] 0.052022250 0.958719646 0.511115105 0.052022250 0.916943780 0.511115105
#>  [79] 0.343812316 0.123515697 0.730960989 0.762944859 0.254513760 0.198232650
#>  [85] 0.142984969 0.542404175 0.133216318 0.364133434 0.885602405 0.783883971
#>  [91] 0.490084390 0.511115105 0.927418450 0.906452844 0.834182545 0.189173791
#>  [97] 0.720228857 0.364133434 0.293464082 0.989622296 0.293464082 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>   154    14   197    63    69    18   111   106    58   150    66   180    45 
#> 12.63 12.89 21.60 22.77 23.23 15.21 17.45 16.67 19.34 20.33 22.13 14.82 17.42 
#>   167    25    92 167.1    77     6   169   105   179    39 180.1    52    37 
#> 15.55  6.32 22.92 15.55  7.27 15.64 22.41 19.75 18.63 15.59 14.82 10.42 12.52 
#>    51 179.1 180.2    29   192    49    23   168    55  63.1   139   149  23.1 
#> 18.23 18.63 14.82 15.45 16.44 12.19 16.92 23.72 19.34 22.77 21.49  8.37 16.92 
#>   133  18.1  49.1    86    91 180.3   194  49.2  45.1 133.1    93    40 168.1 
#> 14.65 15.21 12.19 23.81  5.33 14.82 22.40 12.19 17.42 14.65 10.33 18.00 23.72 
#>   100 168.2   170  29.1   171   153 192.1    10  49.3 168.3  29.2  39.1  51.1 
#> 16.07 23.72 19.54 15.45 16.57 21.33 16.44 10.53 12.19 23.72 15.45 15.59 18.23 
#> 153.1 179.2   184   113   110  10.1  10.2 113.1  25.1    26 113.2   145  26.1 
#> 21.33 18.63 17.77 22.86 17.56 10.53 10.53 22.86  6.32 15.77 22.86 10.07 15.77 
#> 184.1   175   123  37.1    76 150.1 197.1   125   136 110.1  93.1  49.4    79 
#> 17.77 21.91 13.00 12.52 19.22 20.33 21.60 15.65 21.83 17.56 10.33 12.19 16.23 
#>  26.2   183    61  10.3    32   155 110.2   108   127 108.1   120    27   182 
#> 15.77  9.24 10.12 10.53 20.90 13.08 17.56 18.29  3.53 18.29 24.00 24.00 24.00 
#>   146   185    19   200   103     9 146.1    17    54    34     1   161    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1  46.1   118 185.1   132   1.2  46.2     3 118.1 118.2   143   196   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64   102     2    38  64.1   151   3.1   162   178 196.1   156   191   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1 161.2   138   172  46.3 176.1 151.1   9.1   2.1    31 103.1    28  46.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119 162.1   112 103.2    48 178.1  28.1   173    71   142 146.2  64.2 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1     7 116.2 151.2   163   137    95  17.1 200.1    47  71.1 143.1    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.1 191.1 163.1  64.3   3.2  28.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[45]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001545186               1.119514717               0.731444209 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.62171195              0.02177092             -0.71484163 
#>   grade_iii, Cure model 
#>              0.15491864 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 125   15.65      1  67        1         0
#> 127    3.53      1  62        0         1
#> 169   22.41      1  46        0         0
#> 168   23.72      1  70        0         0
#> 124    9.73      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 168.1 23.72      1  70        0         0
#> 153   21.33      1  55        1         0
#> 66    22.13      1  53        0         0
#> 181   16.46      1  45        0         1
#> 171   16.57      1  41        0         1
#> 128   20.35      1  35        0         1
#> 127.1  3.53      1  62        0         1
#> 79    16.23      1  54        1         0
#> 150   20.33      1  48        0         0
#> 105   19.75      1  60        0         0
#> 170   19.54      1  43        0         1
#> 92    22.92      1  47        0         1
#> 32    20.90      1  37        1         0
#> 157   15.10      1  47        0         0
#> 187    9.92      1  39        1         0
#> 96    14.54      1  33        0         1
#> 77     7.27      1  67        0         1
#> 167   15.55      1  56        1         0
#> 56    12.21      1  60        0         0
#> 110   17.56      1  65        0         1
#> 78    23.88      1  43        0         0
#> 97    19.14      1  65        0         1
#> 155   13.08      1  26        0         0
#> 26    15.77      1  49        0         1
#> 101    9.97      1  10        0         1
#> 8     18.43      1  32        0         0
#> 105.1 19.75      1  60        0         0
#> 130   16.47      1  53        0         1
#> 15    22.68      1  48        0         0
#> 15.1  22.68      1  48        0         0
#> 37    12.52      1  57        1         0
#> 189   10.51      1  NA        1         0
#> 130.1 16.47      1  53        0         1
#> 39    15.59      1  37        0         1
#> 89    11.44      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 39.1  15.59      1  37        0         1
#> 175   21.91      1  43        0         0
#> 123   13.00      1  44        1         0
#> 6     15.64      1  39        0         0
#> 97.1  19.14      1  65        0         1
#> 128.1 20.35      1  35        0         1
#> 167.1 15.55      1  56        1         0
#> 37.1  12.52      1  57        1         0
#> 170.1 19.54      1  43        0         1
#> 66.1  22.13      1  53        0         0
#> 60    13.15      1  38        1         0
#> 30    17.43      1  78        0         0
#> 69    23.23      1  25        0         1
#> 25     6.32      1  34        1         0
#> 177   12.53      1  75        0         0
#> 24    23.89      1  38        0         0
#> 52    10.42      1  52        0         1
#> 61    10.12      1  36        0         1
#> 88    18.37      1  47        0         0
#> 192   16.44      1  31        1         0
#> 15.2  22.68      1  48        0         0
#> 52.1  10.42      1  52        0         1
#> 96.1  14.54      1  33        0         1
#> 79.1  16.23      1  54        1         0
#> 110.1 17.56      1  65        0         1
#> 159   10.55      1  50        0         1
#> 8.1   18.43      1  32        0         0
#> 158   20.14      1  74        1         0
#> 41    18.02      1  40        1         0
#> 130.2 16.47      1  53        0         1
#> 25.1   6.32      1  34        1         0
#> 42    12.43      1  49        0         1
#> 39.2  15.59      1  37        0         1
#> 30.1  17.43      1  78        0         0
#> 25.2   6.32      1  34        1         0
#> 108   18.29      1  39        0         1
#> 184   17.77      1  38        0         0
#> 15.3  22.68      1  48        0         0
#> 59    10.16      1  NA        1         0
#> 60.1  13.15      1  38        1         0
#> 140   12.68      1  59        1         0
#> 199   19.81      1  NA        0         1
#> 57    14.46      1  45        0         1
#> 5     16.43      1  51        0         1
#> 39.3  15.59      1  37        0         1
#> 4     17.64      1  NA        0         1
#> 76    19.22      1  54        0         1
#> 158.1 20.14      1  74        1         0
#> 183    9.24      1  67        1         0
#> 69.1  23.23      1  25        0         1
#> 97.2  19.14      1  65        0         1
#> 6.1   15.64      1  39        0         0
#> 150.1 20.33      1  48        0         0
#> 183.1  9.24      1  67        1         0
#> 157.1 15.10      1  47        0         0
#> 85    16.44      1  36        0         0
#> 108.1 18.29      1  39        0         1
#> 183.2  9.24      1  67        1         0
#> 197   21.60      1  69        1         0
#> 43    12.10      1  61        0         1
#> 167.2 15.55      1  56        1         0
#> 149    8.37      1  33        1         0
#> 134   17.81      1  47        1         0
#> 114   13.68      1  NA        0         0
#> 166.1 19.98      1  48        0         0
#> 199.1 19.81      1  NA        0         1
#> 128.2 20.35      1  35        0         1
#> 4.1   17.64      1  NA        0         1
#> 6.2   15.64      1  39        0         0
#> 188   16.16      1  46        0         1
#> 74    24.00      0  43        0         1
#> 163   24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 33    24.00      0  53        0         0
#> 186   24.00      0  45        1         0
#> 135   24.00      0  58        1         0
#> 165   24.00      0  47        0         0
#> 160   24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 176   24.00      0  43        0         1
#> 94    24.00      0  51        0         1
#> 73    24.00      0  NA        0         1
#> 185   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 73.1  24.00      0  NA        0         1
#> 71    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 131   24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 112   24.00      0  61        0         0
#> 46    24.00      0  71        0         0
#> 121   24.00      0  57        1         0
#> 135.1 24.00      0  58        1         0
#> 53.1  24.00      0  32        0         1
#> 191   24.00      0  60        0         1
#> 38.1  24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 3.1   24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 109   24.00      0  48        0         0
#> 53.2  24.00      0  32        0         1
#> 71.1  24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 196   24.00      0  19        0         0
#> 98    24.00      0  34        1         0
#> 147   24.00      0  76        1         0
#> 2     24.00      0   9        0         0
#> 144   24.00      0  28        0         1
#> 119   24.00      0  17        0         0
#> 160.1 24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 2.1   24.00      0   9        0         0
#> 144.1 24.00      0  28        0         1
#> 176.1 24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 118   24.00      0  44        1         0
#> 28.1  24.00      0  67        1         0
#> 44    24.00      0  56        0         0
#> 162   24.00      0  51        0         0
#> 185.1 24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 193   24.00      0  45        0         1
#> 115   24.00      0  NA        1         0
#> 38.2  24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 160.2 24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 152   24.00      0  36        0         1
#> 1     24.00      0  23        1         0
#> 74.1  24.00      0  43        0         1
#> 200.1 24.00      0  64        0         0
#> 65    24.00      0  57        1         0
#> 74.2  24.00      0  43        0         1
#> 148   24.00      0  61        1         0
#> 48    24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 75    24.00      0  21        1         0
#> 28.2  24.00      0  67        1         0
#> 73.2  24.00      0  NA        0         1
#> 38.3  24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 27.1  24.00      0  63        1         0
#> 44.1  24.00      0  56        0         0
#> 65.1  24.00      0  57        1         0
#> 47.1  24.00      0  38        0         1
#> 72    24.00      0  40        0         1
#> 146   24.00      0  63        1         0
#> 94.1  24.00      0  51        0         1
#> 152.1 24.00      0  36        0         1
#> 172.1 24.00      0  41        0         0
#> 74.3  24.00      0  43        0         1
#> 178   24.00      0  52        1         0
#> 62    24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.622         NA        NA      NA
#> 2 age, Cure model           0.0218        NA        NA      NA
#> 3 grade_ii, Cure model     -0.715         NA        NA      NA
#> 4 grade_iii, Cure model     0.155         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00155        NA        NA      NA
#> 2 grade_ii, Survival model   1.12           NA        NA      NA
#> 3 grade_iii, Survival model  0.731          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.62171           0.02177          -0.71484           0.15492  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 247.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.62171195       0.02177092      -0.71484163       0.15491864 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001545186      1.119514717      0.731444209 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.76653987 0.99099654 0.28472145 0.10024454 0.47705159 0.10024454
#>   [7] 0.37091992 0.30274312 0.70425236 0.67438827 0.39858427 0.99099654
#>  [13] 0.73298239 0.43312236 0.49766551 0.51819694 0.19974844 0.38530815
#>  [19] 0.83464002 0.94861690 0.84642565 0.97265002 0.81700545 0.91272983
#>  [25] 0.64301903 0.06267403 0.54744079 0.87495313 0.75990768 0.94358182
#>  [31] 0.57411180 0.49766551 0.68215451 0.21891864 0.21891864 0.89694481
#>  [37] 0.68215451 0.79233620 0.75320284 0.79233620 0.33737707 0.88055195
#>  [43] 0.77303728 0.54744079 0.39858427 0.81700545 0.89694481 0.51819694
#>  [49] 0.30274312 0.86378841 0.65872756 0.15863044 0.97736302 0.89150984
#>  [55] 0.02440953 0.92834836 0.93851672 0.59200479 0.71160136 0.21891864
#>  [61] 0.92834836 0.84642565 0.73298239 0.64301903 0.92317909 0.57411180
#>  [67] 0.45636902 0.61826490 0.68215451 0.97736302 0.90748318 0.79233620
#>  [73] 0.65872756 0.97736302 0.60100961 0.63485583 0.21891864 0.86378841
#>  [79] 0.88607080 0.85801969 0.72589010 0.79233620 0.53778128 0.45636902
#>  [85] 0.95359247 0.15863044 0.54744079 0.77303728 0.43312236 0.95359247
#>  [91] 0.83464002 0.71160136 0.60100961 0.95359247 0.35509890 0.91797354
#>  [97] 0.81700545 0.96790703 0.62668629 0.47705159 0.39858427 0.77303728
#> [103] 0.74649220 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   125   127   169   168   166 168.1   153    66   181   171   128 127.1    79 
#> 15.65  3.53 22.41 23.72 19.98 23.72 21.33 22.13 16.46 16.57 20.35  3.53 16.23 
#>   150   105   170    92    32   157   187    96    77   167    56   110    78 
#> 20.33 19.75 19.54 22.92 20.90 15.10  9.92 14.54  7.27 15.55 12.21 17.56 23.88 
#>    97   155    26   101     8 105.1   130    15  15.1    37 130.1    39   100 
#> 19.14 13.08 15.77  9.97 18.43 19.75 16.47 22.68 22.68 12.52 16.47 15.59 16.07 
#>  39.1   175   123     6  97.1 128.1 167.1  37.1 170.1  66.1    60    30    69 
#> 15.59 21.91 13.00 15.64 19.14 20.35 15.55 12.52 19.54 22.13 13.15 17.43 23.23 
#>    25   177    24    52    61    88   192  15.2  52.1  96.1  79.1 110.1   159 
#>  6.32 12.53 23.89 10.42 10.12 18.37 16.44 22.68 10.42 14.54 16.23 17.56 10.55 
#>   8.1   158    41 130.2  25.1    42  39.2  30.1  25.2   108   184  15.3  60.1 
#> 18.43 20.14 18.02 16.47  6.32 12.43 15.59 17.43  6.32 18.29 17.77 22.68 13.15 
#>   140    57     5  39.3    76 158.1   183  69.1  97.2   6.1 150.1 183.1 157.1 
#> 12.68 14.46 16.43 15.59 19.22 20.14  9.24 23.23 19.14 15.64 20.33  9.24 15.10 
#>    85 108.1 183.2   197    43 167.2   149   134 166.1 128.2   6.2   188    74 
#> 16.44 18.29  9.24 21.60 12.10 15.55  8.37 17.81 19.98 20.35 15.64 16.16 24.00 
#>   163   174    33   186   135   165   160   104   176    94   185    38     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71    17   131    53   112    46   121 135.1  53.1   191  38.1     3    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1   141   138    80   109  53.2  71.1    19   196    98   147     2   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119 160.1   172    11   2.1 144.1 176.1    27   118  28.1    44   162 185.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200   193  38.2    47 160.2    20   152     1  74.1 200.1    65  74.2   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48  11.1    75  28.2  38.3   116  27.1  44.1  65.1  47.1    72   146  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1 172.1  74.3   178    62 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[46]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006038278               0.726388343               0.258607477 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.32272349             -0.01179556              0.34381825 
#>   grade_iii, Cure model 
#>              0.94212636 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 26    15.77      1  49        0         1
#> 101    9.97      1  10        0         1
#> 14    12.89      1  21        0         0
#> 140   12.68      1  59        1         0
#> 14.1  12.89      1  21        0         0
#> 59    10.16      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 61    10.12      1  36        0         1
#> 58    19.34      1  39        0         0
#> 183    9.24      1  67        1         0
#> 14.2  12.89      1  21        0         0
#> 171   16.57      1  41        0         1
#> 170   19.54      1  43        0         1
#> 93    10.33      1  52        0         1
#> 171.1 16.57      1  41        0         1
#> 123   13.00      1  44        1         0
#> 18    15.21      1  49        1         0
#> 18.1  15.21      1  49        1         0
#> 133   14.65      1  57        0         0
#> 134   17.81      1  47        1         0
#> 39    15.59      1  37        0         1
#> 101.1  9.97      1  10        0         1
#> 183.1  9.24      1  67        1         0
#> 153   21.33      1  55        1         0
#> 86    23.81      1  58        0         1
#> 30    17.43      1  78        0         0
#> 171.2 16.57      1  41        0         1
#> 189   10.51      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 39.1  15.59      1  37        0         1
#> 189.1 10.51      1  NA        1         0
#> 171.3 16.57      1  41        0         1
#> 136   21.83      1  43        0         1
#> 150   20.33      1  48        0         0
#> 192   16.44      1  31        1         0
#> 159   10.55      1  50        0         1
#> 78    23.88      1  43        0         0
#> 78.1  23.88      1  43        0         0
#> 175   21.91      1  43        0         0
#> 57    14.46      1  45        0         1
#> 140.1 12.68      1  59        1         0
#> 99    21.19      1  38        0         1
#> 88    18.37      1  47        0         0
#> 124    9.73      1  NA        1         0
#> 123.1 13.00      1  44        1         0
#> 166   19.98      1  48        0         0
#> 85    16.44      1  36        0         0
#> 10    10.53      1  34        0         0
#> 100   16.07      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 169   22.41      1  46        0         0
#> 86.1  23.81      1  58        0         1
#> 97    19.14      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 18.2  15.21      1  49        1         0
#> 96    14.54      1  33        0         1
#> 29    15.45      1  68        1         0
#> 97.2  19.14      1  65        0         1
#> 6     15.64      1  39        0         0
#> 194   22.40      1  38        0         1
#> 164   23.60      1  76        0         1
#> 61.1  10.12      1  36        0         1
#> 140.2 12.68      1  59        1         0
#> 32    20.90      1  37        1         0
#> 106   16.67      1  49        1         0
#> 157   15.10      1  47        0         0
#> 5     16.43      1  51        0         1
#> 139   21.49      1  63        1         0
#> 140.3 12.68      1  59        1         0
#> 86.2  23.81      1  58        0         1
#> 40    18.00      1  28        1         0
#> 93.1  10.33      1  52        0         1
#> 8     18.43      1  32        0         0
#> 50    10.02      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 29.1  15.45      1  68        1         0
#> 37    12.52      1  57        1         0
#> 52    10.42      1  52        0         1
#> 32.1  20.90      1  37        1         0
#> 76    19.22      1  54        0         1
#> 99.1  21.19      1  38        0         1
#> 124.1  9.73      1  NA        1         0
#> 8.1   18.43      1  32        0         0
#> 100.1 16.07      1  60        0         0
#> 111   17.45      1  47        0         1
#> 113   22.86      1  34        0         0
#> 150.1 20.33      1  48        0         0
#> 13    14.34      1  54        0         1
#> 6.1   15.64      1  39        0         0
#> 127    3.53      1  62        0         1
#> 166.1 19.98      1  48        0         0
#> 128   20.35      1  35        0         1
#> 4     17.64      1  NA        0         1
#> 25     6.32      1  34        1         0
#> 123.2 13.00      1  44        1         0
#> 63    22.77      1  31        1         0
#> 123.3 13.00      1  44        1         0
#> 164.1 23.60      1  76        0         1
#> 107   11.18      1  54        1         0
#> 177   12.53      1  75        0         0
#> 59.1  10.16      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 187    9.92      1  39        1         0
#> 56    12.21      1  60        0         0
#> 10.1  10.53      1  34        0         0
#> 23    16.92      1  61        0         0
#> 79    16.23      1  54        1         0
#> 49    12.19      1  48        1         0
#> 125   15.65      1  67        1         0
#> 76.1  19.22      1  54        0         1
#> 154   12.63      1  20        1         0
#> 52.1  10.42      1  52        0         1
#> 116   24.00      0  58        0         1
#> 160   24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 151   24.00      0  42        0         0
#> 74    24.00      0  43        0         1
#> 116.1 24.00      0  58        0         1
#> 172   24.00      0  41        0         0
#> 62    24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 84    24.00      0  39        0         1
#> 11    24.00      0  42        0         1
#> 121   24.00      0  57        1         0
#> 11.1  24.00      0  42        0         1
#> 152   24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 103   24.00      0  56        1         0
#> 54    24.00      0  53        1         0
#> 156   24.00      0  50        1         0
#> 161   24.00      0  45        0         0
#> 116.2 24.00      0  58        0         1
#> 80    24.00      0  41        0         0
#> 142   24.00      0  53        0         0
#> 102   24.00      0  49        0         0
#> 116.3 24.00      0  58        0         1
#> 182   24.00      0  35        0         0
#> 135   24.00      0  58        1         0
#> 148   24.00      0  61        1         0
#> 95.1  24.00      0  68        0         1
#> 95.2  24.00      0  68        0         1
#> 2     24.00      0   9        0         0
#> 162   24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 38    24.00      0  31        1         0
#> 156.1 24.00      0  50        1         0
#> 146.1 24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 33    24.00      0  53        0         0
#> 87    24.00      0  27        0         0
#> 67    24.00      0  25        0         0
#> 143   24.00      0  51        0         0
#> 11.2  24.00      0  42        0         1
#> 142.1 24.00      0  53        0         0
#> 27    24.00      0  63        1         0
#> 80.1  24.00      0  41        0         0
#> 151.1 24.00      0  42        0         0
#> 151.2 24.00      0  42        0         0
#> 72    24.00      0  40        0         1
#> 138   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 148.1 24.00      0  61        1         0
#> 146.2 24.00      0  63        1         0
#> 20    24.00      0  46        1         0
#> 200   24.00      0  64        0         0
#> 126   24.00      0  48        0         0
#> 186   24.00      0  45        1         0
#> 148.2 24.00      0  61        1         0
#> 163   24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 80.2  24.00      0  41        0         0
#> 2.1   24.00      0   9        0         0
#> 7     24.00      0  37        1         0
#> 186.1 24.00      0  45        1         0
#> 33.1  24.00      0  53        0         0
#> 21    24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 143.1 24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 178   24.00      0  52        1         0
#> 147   24.00      0  76        1         0
#> 165   24.00      0  47        0         0
#> 143.2 24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 161.1 24.00      0  45        0         0
#> 119   24.00      0  17        0         0
#> 193   24.00      0  45        0         1
#> 191   24.00      0  60        0         1
#> 135.1 24.00      0  58        1         0
#> 193.1 24.00      0  45        0         1
#> 62.1  24.00      0  71        0         0
#> 21.1  24.00      0  47        0         0
#> 44.1  24.00      0  56        0         0
#> 3     24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 135.2 24.00      0  58        1         0
#> 116.4 24.00      0  58        0         1
#> 173   24.00      0  19        0         1
#> 28.1  24.00      0  67        1         0
#> 65    24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.323         NA        NA      NA
#> 2 age, Cure model          -0.0118        NA        NA      NA
#> 3 grade_ii, Cure model      0.344         NA        NA      NA
#> 4 grade_iii, Cure model     0.942         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00604        NA        NA      NA
#> 2 grade_ii, Survival model   0.726          NA        NA      NA
#> 3 grade_iii, Survival model  0.259          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>           0.3227           -0.0118            0.3438            0.9421  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 253.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.32272349      -0.01179556       0.34381825       0.94212636 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006038278      0.726388343      0.258607477 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.532252768 0.928111929 0.726627923 0.754737448 0.726627923 0.462132078
#>   [7] 0.909906462 0.269723296 0.955291825 0.726627923 0.422796558 0.259585440
#>  [13] 0.891685663 0.422796558 0.689562111 0.612126069 0.612126069 0.650492469
#>  [19] 0.371661099 0.572388877 0.928111929 0.955291825 0.160475415 0.033920132
#>  [25] 0.391981280 0.422796558 0.572388877 0.422796558 0.138329867 0.220234625
#>  [31] 0.472309749 0.846201711 0.014417407 0.014417407 0.127089426 0.670025269
#>  [37] 0.754737448 0.171032769 0.350809549 0.689562111 0.239706538 0.472309749
#>  [43] 0.855304588 0.512268283 0.105024952 0.033920132 0.300100567 0.300100567
#>  [49] 0.612126069 0.660263284 0.592381154 0.300100567 0.552371632 0.116072291
#>  [55] 0.061260952 0.909906462 0.754737448 0.191426624 0.412589471 0.640764208
#>  [61] 0.492225492 0.149571759 0.754737448 0.033920132 0.361347492 0.891685663
#>  [67] 0.330200874 0.982113220 0.592381154 0.809579981 0.873484914 0.191426624
#>  [73] 0.279941774 0.171032769 0.330200874 0.512268283 0.381817819 0.082526398
#>  [79] 0.220234625 0.679789111 0.552371632 0.991052199 0.239706538 0.210495603
#>  [85] 0.973182689 0.689562111 0.094253178 0.689562111 0.061260952 0.837102984
#>  [91] 0.800359357 0.004098096 0.946239453 0.818751977 0.855304588 0.402244707
#>  [97] 0.502296096 0.827955308 0.542347613 0.279941774 0.791177260 0.873484914
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    26   101    14   140  14.1   130    61    58   183  14.2   171   170    93 
#> 15.77  9.97 12.89 12.68 12.89 16.47 10.12 19.34  9.24 12.89 16.57 19.54 10.33 
#> 171.1   123    18  18.1   133   134    39 101.1 183.1   153    86    30 171.2 
#> 16.57 13.00 15.21 15.21 14.65 17.81 15.59  9.97  9.24 21.33 23.81 17.43 16.57 
#>  39.1 171.3   136   150   192   159    78  78.1   175    57 140.1    99    88 
#> 15.59 16.57 21.83 20.33 16.44 10.55 23.88 23.88 21.91 14.46 12.68 21.19 18.37 
#> 123.1   166    85    10   100   169  86.1    97  97.1  18.2    96    29  97.2 
#> 13.00 19.98 16.44 10.53 16.07 22.41 23.81 19.14 19.14 15.21 14.54 15.45 19.14 
#>     6   194   164  61.1 140.2    32   106   157     5   139 140.3  86.2    40 
#> 15.64 22.40 23.60 10.12 12.68 20.90 16.67 15.10 16.43 21.49 12.68 23.81 18.00 
#>  93.1     8    91  29.1    37    52  32.1    76  99.1   8.1 100.1   111   113 
#> 10.33 18.43  5.33 15.45 12.52 10.42 20.90 19.22 21.19 18.43 16.07 17.45 22.86 
#> 150.1    13   6.1   127 166.1   128    25 123.2    63 123.3 164.1   107   177 
#> 20.33 14.34 15.64  3.53 19.98 20.35  6.32 13.00 22.77 13.00 23.60 11.18 12.53 
#>    24   187    56  10.1    23    79    49   125  76.1   154  52.1   116   160 
#> 23.89  9.92 12.21 10.53 16.92 16.23 12.19 15.65 19.22 12.63 10.42 24.00 24.00 
#>    95   151    74 116.1   172    62   146    84    11   121  11.1   152   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54   156   161 116.2    80   142   102 116.3   182   135   148  95.1  95.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2   162   131    38 156.1 146.1    64    33    87    67   143  11.2 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27  80.1 151.1 151.2    72   138    71 148.1 146.2    20   200   126   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.2   163    53  80.2   2.1     7 186.1  33.1    21   118 143.1    44   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147   165 143.2    28 161.1   119   193   191 135.1 193.1  62.1  21.1  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3    98 135.2 116.4   173  28.1    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[47]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008140224               0.148005554               0.274100483 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.23802788              0.01656144              0.91866982 
#>   grade_iii, Cure model 
#>              0.95800268 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 92    22.92      1  47        0         1
#> 133   14.65      1  57        0         0
#> 93    10.33      1  52        0         1
#> 179   18.63      1  42        0         0
#> 42    12.43      1  49        0         1
#> 129   23.41      1  53        1         0
#> 6     15.64      1  39        0         0
#> 149    8.37      1  33        1         0
#> 30    17.43      1  78        0         0
#> 128   20.35      1  35        0         1
#> 134   17.81      1  47        1         0
#> 124    9.73      1  NA        1         0
#> 134.1 17.81      1  47        1         0
#> 107   11.18      1  54        1         0
#> 123   13.00      1  44        1         0
#> 4     17.64      1  NA        0         1
#> 128.1 20.35      1  35        0         1
#> 145   10.07      1  65        1         0
#> 166   19.98      1  48        0         0
#> 45    17.42      1  54        0         1
#> 105   19.75      1  60        0         0
#> 128.2 20.35      1  35        0         1
#> 10    10.53      1  34        0         0
#> 63    22.77      1  31        1         0
#> 40    18.00      1  28        1         0
#> 170   19.54      1  43        0         1
#> 130   16.47      1  53        0         1
#> 32    20.90      1  37        1         0
#> 77     7.27      1  67        0         1
#> 32.1  20.90      1  37        1         0
#> 32.2  20.90      1  37        1         0
#> 10.1  10.53      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 128.3 20.35      1  35        0         1
#> 100   16.07      1  60        0         0
#> 110   17.56      1  65        0         1
#> 106   16.67      1  49        1         0
#> 134.2 17.81      1  47        1         0
#> 25     6.32      1  34        1         0
#> 78    23.88      1  43        0         0
#> 29    15.45      1  68        1         0
#> 55    19.34      1  69        0         1
#> 43    12.10      1  61        0         1
#> 77.1   7.27      1  67        0         1
#> 153   21.33      1  55        1         0
#> 175   21.91      1  43        0         0
#> 93.1  10.33      1  52        0         1
#> 199   19.81      1  NA        0         1
#> 41    18.02      1  40        1         0
#> 43.1  12.10      1  61        0         1
#> 79    16.23      1  54        1         0
#> 110.1 17.56      1  65        0         1
#> 189   10.51      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 30.1  17.43      1  78        0         0
#> 4.1   17.64      1  NA        0         1
#> 32.3  20.90      1  37        1         0
#> 158   20.14      1  74        1         0
#> 97    19.14      1  65        0         1
#> 170.1 19.54      1  43        0         1
#> 155   13.08      1  26        0         0
#> 158.1 20.14      1  74        1         0
#> 177   12.53      1  75        0         0
#> 107.1 11.18      1  54        1         0
#> 189.1 10.51      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 86    23.81      1  58        0         1
#> 76    19.22      1  54        0         1
#> 153.1 21.33      1  55        1         0
#> 107.2 11.18      1  54        1         0
#> 134.3 17.81      1  47        1         0
#> 133.1 14.65      1  57        0         0
#> 43.2  12.10      1  61        0         1
#> 139   21.49      1  63        1         0
#> 42.1  12.43      1  49        0         1
#> 68    20.62      1  44        0         0
#> 61    10.12      1  36        0         1
#> 10.2  10.53      1  34        0         0
#> 56    12.21      1  60        0         0
#> 106.1 16.67      1  49        1         0
#> 155.1 13.08      1  26        0         0
#> 159   10.55      1  50        0         1
#> 42.2  12.43      1  49        0         1
#> 8     18.43      1  32        0         0
#> 6.1   15.64      1  39        0         0
#> 49    12.19      1  48        1         0
#> 153.2 21.33      1  55        1         0
#> 78.1  23.88      1  43        0         0
#> 168   23.72      1  70        0         0
#> 92.1  22.92      1  47        0         1
#> 29.1  15.45      1  68        1         0
#> 136   21.83      1  43        0         1
#> 192   16.44      1  31        1         0
#> 10.3  10.53      1  34        0         0
#> 111   17.45      1  47        0         1
#> 127    3.53      1  62        0         1
#> 183    9.24      1  67        1         0
#> 70     7.38      1  30        1         0
#> 199.1 19.81      1  NA        0         1
#> 37    12.52      1  57        1         0
#> 77.2   7.27      1  67        0         1
#> 26    15.77      1  49        0         1
#> 66    22.13      1  53        0         0
#> 88    18.37      1  47        0         0
#> 32.4  20.90      1  37        1         0
#> 5     16.43      1  51        0         1
#> 32.5  20.90      1  37        1         0
#> 157   15.10      1  47        0         0
#> 49.1  12.19      1  48        1         0
#> 188   16.16      1  46        0         1
#> 167   15.55      1  56        1         0
#> 158.2 20.14      1  74        1         0
#> 72    24.00      0  40        0         1
#> 118   24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 198   24.00      0  66        0         1
#> 7     24.00      0  37        1         0
#> 104   24.00      0  50        1         0
#> 152   24.00      0  36        0         1
#> 94    24.00      0  51        0         1
#> 174   24.00      0  49        1         0
#> 151   24.00      0  42        0         0
#> 27    24.00      0  63        1         0
#> 138   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 186   24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 31    24.00      0  36        0         1
#> 200.1 24.00      0  64        0         0
#> 62    24.00      0  71        0         0
#> 1     24.00      0  23        1         0
#> 80    24.00      0  41        0         0
#> 102   24.00      0  49        0         0
#> 116   24.00      0  58        0         1
#> 2     24.00      0   9        0         0
#> 122   24.00      0  66        0         0
#> 200.2 24.00      0  64        0         0
#> 44    24.00      0  56        0         0
#> 112   24.00      0  61        0         0
#> 131.1 24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 121   24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 83.1  24.00      0   6        0         0
#> 200.3 24.00      0  64        0         0
#> 126   24.00      0  48        0         0
#> 104.1 24.00      0  50        1         0
#> 82    24.00      0  34        0         0
#> 22    24.00      0  52        1         0
#> 143   24.00      0  51        0         0
#> 44.1  24.00      0  56        0         0
#> 178   24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 53.1  24.00      0  32        0         1
#> 172   24.00      0  41        0         0
#> 143.1 24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 7.1   24.00      0  37        1         0
#> 47    24.00      0  38        0         1
#> 47.1  24.00      0  38        0         1
#> 131.2 24.00      0  66        0         0
#> 131.3 24.00      0  66        0         0
#> 82.1  24.00      0  34        0         0
#> 46    24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 34    24.00      0  36        0         0
#> 72.1  24.00      0  40        0         1
#> 74    24.00      0  43        0         1
#> 173   24.00      0  19        0         1
#> 47.2  24.00      0  38        0         1
#> 54    24.00      0  53        1         0
#> 185.1 24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 143.2 24.00      0  51        0         0
#> 143.3 24.00      0  51        0         0
#> 31.1  24.00      0  36        0         1
#> 137   24.00      0  45        1         0
#> 67    24.00      0  25        0         0
#> 161   24.00      0  45        0         0
#> 131.4 24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 186.1 24.00      0  45        1         0
#> 38    24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 72.2  24.00      0  40        0         1
#> 147   24.00      0  76        1         0
#> 109   24.00      0  48        0         0
#> 142.1 24.00      0  53        0         0
#> 198.1 24.00      0  66        0         1
#> 148.1 24.00      0  61        1         0
#> 115   24.00      0  NA        1         0
#> 151.1 24.00      0  42        0         0
#> 65    24.00      0  57        1         0
#> 54.1  24.00      0  53        1         0
#> 84.1  24.00      0  39        0         1
#> 74.1  24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.24          NA        NA      NA
#> 2 age, Cure model           0.0166        NA        NA      NA
#> 3 grade_ii, Cure model      0.919         NA        NA      NA
#> 4 grade_iii, Cure model     0.958         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00814        NA        NA      NA
#> 2 grade_ii, Survival model   0.148          NA        NA      NA
#> 3 grade_iii, Survival model  0.274          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.23803           0.01656           0.91867           0.95800  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 250.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.23802788       0.01656144       0.91866982       0.95800268 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008140224      0.148005554      0.274100483 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.19507454 0.78552591 0.93270114 0.55461947 0.83090755 0.17342374
#>   [7] 0.74536091 0.96130146 0.65177102 0.42219203 0.59703211 0.59703211
#>  [13] 0.88603467 0.81156702 0.42219203 0.94992896 0.49094406 0.66677797
#>  [19] 0.50052984 0.42219203 0.90957453 0.22934625 0.58866944 0.51000141
#>  [25] 0.68883650 0.34693171 0.97258982 0.34693171 0.34693171 0.90957453
#>  [31] 0.42219203 0.72459174 0.62857592 0.67423624 0.59703211 0.98903993
#>  [37] 0.06034166 0.76568427 0.52818877 0.86809478 0.97258982 0.30919819
#>  [43] 0.26307005 0.93270114 0.58025221 0.86809478 0.71046931 0.62857592
#>  [49] 0.65177102 0.34693171 0.46248414 0.54597506 0.51000141 0.79857148
#>  [55] 0.46248414 0.81805664 0.88603467 0.73850190 0.12208164 0.53715858
#>  [61] 0.30919819 0.88603467 0.59703211 0.78552591 0.86809478 0.29455469
#>  [67] 0.83090755 0.41090023 0.94419245 0.90957453 0.84956192 0.67423624
#>  [73] 0.79857148 0.90368875 0.83090755 0.56320932 0.74536091 0.85579717
#>  [79] 0.30919819 0.06034166 0.14942911 0.19507454 0.76568427 0.27919653
#>  [85] 0.69609644 0.90957453 0.64406560 0.99453776 0.95563214 0.96695355
#>  [91] 0.82450323 0.97258982 0.73157856 0.24651879 0.57176036 0.34693171
#>  [97] 0.70331930 0.34693171 0.77891068 0.85579717 0.71756223 0.75892298
#> [103] 0.46248414 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    92   133    93   179    42   129     6   149    30   128   134 134.1   107 
#> 22.92 14.65 10.33 18.63 12.43 23.41 15.64  8.37 17.43 20.35 17.81 17.81 11.18 
#>   123 128.1   145   166    45   105 128.2    10    63    40   170   130    32 
#> 13.00 20.35 10.07 19.98 17.42 19.75 20.35 10.53 22.77 18.00 19.54 16.47 20.90 
#>    77  32.1  32.2  10.1 128.3   100   110   106 134.2    25    78    29    55 
#>  7.27 20.90 20.90 10.53 20.35 16.07 17.56 16.67 17.81  6.32 23.88 15.45 19.34 
#>    43  77.1   153   175  93.1    41  43.1    79 110.1  30.1  32.3   158    97 
#> 12.10  7.27 21.33 21.91 10.33 18.02 12.10 16.23 17.56 17.43 20.90 20.14 19.14 
#> 170.1   155 158.1   177 107.1   125    86    76 153.1 107.2 134.3 133.1  43.2 
#> 19.54 13.08 20.14 12.53 11.18 15.65 23.81 19.22 21.33 11.18 17.81 14.65 12.10 
#>   139  42.1    68    61  10.2    56 106.1 155.1   159  42.2     8   6.1    49 
#> 21.49 12.43 20.62 10.12 10.53 12.21 16.67 13.08 10.55 12.43 18.43 15.64 12.19 
#> 153.2  78.1   168  92.1  29.1   136   192  10.3   111   127   183    70    37 
#> 21.33 23.88 23.72 22.92 15.45 21.83 16.44 10.53 17.45  3.53  9.24  7.38 12.52 
#>  77.2    26    66    88  32.4     5  32.5   157  49.1   188   167 158.2    72 
#>  7.27 15.77 22.13 18.37 20.90 16.43 20.90 15.10 12.19 16.16 15.55 20.14 24.00 
#>   118   185   131   198     7   104   152    94   174   151    27   138   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   186   200    31 200.1    62     1    80   102   116     2   122 200.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44   112 131.1    53   121    35    83  83.1 200.3   126 104.1    82    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143  44.1   178    84  53.1   172 143.1   163   7.1    47  47.1 131.2 131.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1    46   132    34  72.1    74   173  47.2    54 185.1    71    17 143.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.3  31.1   137    67   161 131.4    87 186.1    38 174.1  72.2   147   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1 198.1 148.1 151.1    65  54.1  84.1  74.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[48]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00257875                0.70018122                0.48863265 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.877400176            -0.007565857            -1.041503306 
#>   grade_iii, Cure model 
#>             0.150767321 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 96    14.54      1  33        0         1
#> 155   13.08      1  26        0         0
#> 42    12.43      1  49        0         1
#> 78    23.88      1  43        0         0
#> 25     6.32      1  34        1         0
#> 180   14.82      1  37        0         0
#> 79    16.23      1  54        1         0
#> 39    15.59      1  37        0         1
#> 8     18.43      1  32        0         0
#> 155.1 13.08      1  26        0         0
#> 76    19.22      1  54        0         1
#> 32    20.90      1  37        1         0
#> 40    18.00      1  28        1         0
#> 41    18.02      1  40        1         0
#> 50    10.02      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 167   15.55      1  56        1         0
#> 190   20.81      1  42        1         0
#> 57    14.46      1  45        0         1
#> 110   17.56      1  65        0         1
#> 181   16.46      1  45        0         1
#> 181.1 16.46      1  45        0         1
#> 106   16.67      1  49        1         0
#> 5     16.43      1  51        0         1
#> 190.1 20.81      1  42        1         0
#> 114   13.68      1  NA        0         0
#> 36    21.19      1  48        0         1
#> 40.1  18.00      1  28        1         0
#> 66    22.13      1  53        0         0
#> 170   19.54      1  43        0         1
#> 181.2 16.46      1  45        0         1
#> 97    19.14      1  65        0         1
#> 23    16.92      1  61        0         0
#> 79.1  16.23      1  54        1         0
#> 37    12.52      1  57        1         0
#> 171   16.57      1  41        0         1
#> 128   20.35      1  35        0         1
#> 171.1 16.57      1  41        0         1
#> 164   23.60      1  76        0         1
#> 128.1 20.35      1  35        0         1
#> 16     8.71      1  71        0         1
#> 175   21.91      1  43        0         0
#> 68    20.62      1  44        0         0
#> 110.1 17.56      1  65        0         1
#> 39.1  15.59      1  37        0         1
#> 79.2  16.23      1  54        1         0
#> 175.1 21.91      1  43        0         0
#> 40.2  18.00      1  28        1         0
#> 157   15.10      1  47        0         0
#> 40.3  18.00      1  28        1         0
#> 149    8.37      1  33        1         0
#> 113   22.86      1  34        0         0
#> 5.1   16.43      1  51        0         1
#> 139   21.49      1  63        1         0
#> 100   16.07      1  60        0         0
#> 167.1 15.55      1  56        1         0
#> 168   23.72      1  70        0         0
#> 8.1   18.43      1  32        0         0
#> 188   16.16      1  46        0         1
#> 100.1 16.07      1  60        0         0
#> 140   12.68      1  59        1         0
#> 10    10.53      1  34        0         0
#> 91     5.33      1  61        0         1
#> 199   19.81      1  NA        0         1
#> 150   20.33      1  48        0         0
#> 100.2 16.07      1  60        0         0
#> 155.2 13.08      1  26        0         0
#> 99    21.19      1  38        0         1
#> 5.2   16.43      1  51        0         1
#> 130   16.47      1  53        0         1
#> 170.1 19.54      1  43        0         1
#> 58    19.34      1  39        0         0
#> 55    19.34      1  69        0         1
#> 184   17.77      1  38        0         0
#> 15    22.68      1  48        0         0
#> 114.1 13.68      1  NA        0         0
#> 13    14.34      1  54        0         1
#> 113.1 22.86      1  34        0         0
#> 117   17.46      1  26        0         1
#> 26    15.77      1  49        0         1
#> 69    23.23      1  25        0         1
#> 133   14.65      1  57        0         0
#> 16.1   8.71      1  71        0         1
#> 81    14.06      1  34        0         0
#> 55.1  19.34      1  69        0         1
#> 32.1  20.90      1  37        1         0
#> 169   22.41      1  46        0         0
#> 14    12.89      1  21        0         0
#> 99.1  21.19      1  38        0         1
#> 43    12.10      1  61        0         1
#> 89    11.44      1  NA        0         0
#> 55.2  19.34      1  69        0         1
#> 153   21.33      1  55        1         0
#> 96.1  14.54      1  33        0         1
#> 37.1  12.52      1  57        1         0
#> 114.2 13.68      1  NA        0         0
#> 85    16.44      1  36        0         0
#> 8.2   18.43      1  32        0         0
#> 136   21.83      1  43        0         1
#> 8.3   18.43      1  32        0         0
#> 36.1  21.19      1  48        0         1
#> 157.1 15.10      1  47        0         0
#> 8.4   18.43      1  32        0         0
#> 96.2  14.54      1  33        0         1
#> 66.1  22.13      1  53        0         0
#> 16.2   8.71      1  71        0         1
#> 113.2 22.86      1  34        0         0
#> 111   17.45      1  47        0         1
#> 25.1   6.32      1  34        1         0
#> 55.3  19.34      1  69        0         1
#> 130.1 16.47      1  53        0         1
#> 187    9.92      1  39        1         0
#> 116   24.00      0  58        0         1
#> 72    24.00      0  40        0         1
#> 193   24.00      0  45        0         1
#> 165   24.00      0  47        0         0
#> 186   24.00      0  45        1         0
#> 44    24.00      0  56        0         0
#> 186.1 24.00      0  45        1         0
#> 2     24.00      0   9        0         0
#> 73    24.00      0  NA        0         1
#> 121   24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 65    24.00      0  57        1         0
#> 95    24.00      0  68        0         1
#> 35    24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 193.1 24.00      0  45        0         1
#> 200   24.00      0  64        0         0
#> 38    24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 11    24.00      0  42        0         1
#> 182   24.00      0  35        0         0
#> 161   24.00      0  45        0         0
#> 121.1 24.00      0  57        1         0
#> 38.1  24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 20.1  24.00      0  46        1         0
#> 22    24.00      0  52        1         0
#> 115   24.00      0  NA        1         0
#> 178   24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 22.1  24.00      0  52        1         0
#> 148   24.00      0  61        1         0
#> 165.1 24.00      0  47        0         0
#> 198   24.00      0  66        0         1
#> 34    24.00      0  36        0         0
#> 152.1 24.00      0  36        0         1
#> 138   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 165.2 24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 196   24.00      0  19        0         0
#> 143   24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 84    24.00      0  39        0         1
#> 165.3 24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 54    24.00      0  53        1         0
#> 191.1 24.00      0  60        0         1
#> 103   24.00      0  56        1         0
#> 103.1 24.00      0  56        1         0
#> 121.2 24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 118.1 24.00      0  44        1         0
#> 120.1 24.00      0  68        0         1
#> 1     24.00      0  23        1         0
#> 94    24.00      0  51        0         1
#> 31    24.00      0  36        0         1
#> 103.2 24.00      0  56        1         0
#> 48    24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 1.1   24.00      0  23        1         0
#> 28.1  24.00      0  67        1         0
#> 137   24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 9.1   24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 103.3 24.00      0  56        1         0
#> 174   24.00      0  49        1         0
#> 138.1 24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 47.1  24.00      0  38        0         1
#> 126   24.00      0  48        0         0
#> 176   24.00      0  43        0         1
#> 121.3 24.00      0  57        1         0
#> 28.2  24.00      0  67        1         0
#> 54.1  24.00      0  53        1         0
#> 54.2  24.00      0  53        1         0
#> 84.1  24.00      0  39        0         1
#> 80.1  24.00      0  41        0         0
#> 84.2  24.00      0  39        0         1
#> 118.2 24.00      0  44        1         0
#> 28.3  24.00      0  67        1         0
#> 65.1  24.00      0  57        1         0
#> 67    24.00      0  25        0         0
#> 19    24.00      0  57        0         1
#> 74    24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.877          NA        NA      NA
#> 2 age, Cure model         -0.00757        NA        NA      NA
#> 3 grade_ii, Cure model    -1.04           NA        NA      NA
#> 4 grade_iii, Cure model    0.151          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00258        NA        NA      NA
#> 2 grade_ii, Survival model   0.700          NA        NA      NA
#> 3 grade_iii, Survival model  0.489          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.877400         -0.007566         -1.041503          0.150767  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 250.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.877400176     -0.007565857     -1.041503306      0.150767321 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00257875       0.70018122       0.48863265 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.817681334 0.862453922 0.914245858 0.007970815 0.979000996 0.802440122
#>   [7] 0.694846610 0.756845089 0.455519418 0.862453922 0.436469488 0.286558515
#>  [13] 0.510765755 0.501383276 0.928862329 0.772181089 0.308532225 0.840037205
#>  [19] 0.553944877 0.638719380 0.638719380 0.597050452 0.671032131 0.308532225
#>  [25] 0.241546218 0.510765755 0.141726967 0.370468670 0.638719380 0.446032944
#>  [31] 0.588449863 0.694846610 0.899614285 0.605556082 0.339907854 0.605556082
#>  [37] 0.043429043 0.339907854 0.950588136 0.170378270 0.329312139 0.553944877
#>  [43] 0.756845089 0.694846610 0.170378270 0.510765755 0.787294008 0.510765755
#>  [49] 0.971891737 0.074765377 0.671032131 0.214209466 0.725848256 0.772181089
#>  [55] 0.024362731 0.455519418 0.718062631 0.725848256 0.892178800 0.936116313
#>  [61] 0.992996747 0.360161222 0.725848256 0.862453922 0.241546218 0.671032131
#>  [67] 0.622230913 0.370468670 0.390297767 0.390297767 0.545129707 0.112473973
#>  [73] 0.847526001 0.074765377 0.571228435 0.749061483 0.060152131 0.810055827
#>  [79] 0.950588136 0.854987227 0.390297767 0.286558515 0.127005435 0.884697812
#>  [85] 0.241546218 0.921565476 0.390297767 0.228183598 0.817681334 0.899614285
#>  [91] 0.662872411 0.455519418 0.199555190 0.455519418 0.241546218 0.787294008
#>  [97] 0.455519418 0.817681334 0.141726967 0.950588136 0.074765377 0.579867534
#> [103] 0.979000996 0.390297767 0.622230913 0.943375018 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    96   155    42    78    25   180    79    39     8 155.1    76    32    40 
#> 14.54 13.08 12.43 23.88  6.32 14.82 16.23 15.59 18.43 13.08 19.22 20.90 18.00 
#>    41   107   167   190    57   110   181 181.1   106     5 190.1    36  40.1 
#> 18.02 11.18 15.55 20.81 14.46 17.56 16.46 16.46 16.67 16.43 20.81 21.19 18.00 
#>    66   170 181.2    97    23  79.1    37   171   128 171.1   164 128.1    16 
#> 22.13 19.54 16.46 19.14 16.92 16.23 12.52 16.57 20.35 16.57 23.60 20.35  8.71 
#>   175    68 110.1  39.1  79.2 175.1  40.2   157  40.3   149   113   5.1   139 
#> 21.91 20.62 17.56 15.59 16.23 21.91 18.00 15.10 18.00  8.37 22.86 16.43 21.49 
#>   100 167.1   168   8.1   188 100.1   140    10    91   150 100.2 155.2    99 
#> 16.07 15.55 23.72 18.43 16.16 16.07 12.68 10.53  5.33 20.33 16.07 13.08 21.19 
#>   5.2   130 170.1    58    55   184    15    13 113.1   117    26    69   133 
#> 16.43 16.47 19.54 19.34 19.34 17.77 22.68 14.34 22.86 17.46 15.77 23.23 14.65 
#>  16.1    81  55.1  32.1   169    14  99.1    43  55.2   153  96.1  37.1    85 
#>  8.71 14.06 19.34 20.90 22.41 12.89 21.19 12.10 19.34 21.33 14.54 12.52 16.44 
#>   8.2   136   8.3  36.1 157.1   8.4  96.2  66.1  16.2 113.2   111  25.1  55.3 
#> 18.43 21.83 18.43 21.19 15.10 18.43 14.54 22.13  8.71 22.86 17.45  6.32 19.34 
#> 130.1   187   116    72   193   165   186    44 186.1     2   121    20    65 
#> 16.47  9.92 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95    35    80 193.1   200    38     3   152    11   182   161 121.1  38.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28  20.1    22   178   109  22.1   148 165.1   198    34 152.1   138   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.2   172   196   143   151    84 165.3   191    54 191.1   103 103.1 121.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118 118.1 120.1     1    94    31 103.2    48     9   1.1  28.1   137    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1    47 103.3   174 138.1   160  95.1  47.1   126   176 121.3  28.2  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.2  84.1  80.1  84.2 118.2  28.3  65.1    67    19    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[49]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008739633               0.647480821               0.053201911 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.81662637              0.01117173              0.29565540 
#>   grade_iii, Cure model 
#>              1.43943550 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 155   13.08      1  26        0         0
#> 179   18.63      1  42        0         0
#> 154   12.63      1  20        1         0
#> 101    9.97      1  10        0         1
#> 88    18.37      1  47        0         0
#> 86    23.81      1  58        0         1
#> 43    12.10      1  61        0         1
#> 59    10.16      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 117   17.46      1  26        0         1
#> 107   11.18      1  54        1         0
#> 18    15.21      1  49        1         0
#> 66    22.13      1  53        0         0
#> 45    17.42      1  54        0         1
#> 43.1  12.10      1  61        0         1
#> 181   16.46      1  45        0         1
#> 107.1 11.18      1  54        1         0
#> 124.1  9.73      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 15    22.68      1  48        0         0
#> 18.1  15.21      1  49        1         0
#> 40    18.00      1  28        1         0
#> 125   15.65      1  67        1         0
#> 23    16.92      1  61        0         0
#> 145   10.07      1  65        1         0
#> 114   13.68      1  NA        0         0
#> 40.1  18.00      1  28        1         0
#> 129   23.41      1  53        1         0
#> 40.2  18.00      1  28        1         0
#> 128   20.35      1  35        0         1
#> 90    20.94      1  50        0         1
#> 14    12.89      1  21        0         0
#> 117.1 17.46      1  26        0         1
#> 77     7.27      1  67        0         1
#> 6     15.64      1  39        0         0
#> 45.1  17.42      1  54        0         1
#> 69    23.23      1  25        0         1
#> 92    22.92      1  47        0         1
#> 108   18.29      1  39        0         1
#> 114.1 13.68      1  NA        0         0
#> 117.2 17.46      1  26        0         1
#> 125.1 15.65      1  67        1         0
#> 167   15.55      1  56        1         0
#> 8     18.43      1  32        0         0
#> 97    19.14      1  65        0         1
#> 113   22.86      1  34        0         0
#> 140   12.68      1  59        1         0
#> 15.1  22.68      1  48        0         0
#> 128.1 20.35      1  35        0         1
#> 6.1   15.64      1  39        0         0
#> 36    21.19      1  48        0         1
#> 158   20.14      1  74        1         0
#> 159   10.55      1  50        0         1
#> 58    19.34      1  39        0         0
#> 136   21.83      1  43        0         1
#> 184   17.77      1  38        0         0
#> 99    21.19      1  38        0         1
#> 51    18.23      1  83        0         1
#> 108.1 18.29      1  39        0         1
#> 63.1  22.77      1  31        1         0
#> 166   19.98      1  48        0         0
#> 97.1  19.14      1  65        0         1
#> 91     5.33      1  61        0         1
#> 93    10.33      1  52        0         1
#> 149    8.37      1  33        1         0
#> 107.2 11.18      1  54        1         0
#> 86.1  23.81      1  58        0         1
#> 96    14.54      1  33        0         1
#> 68    20.62      1  44        0         0
#> 52    10.42      1  52        0         1
#> 37    12.52      1  57        1         0
#> 145.1 10.07      1  65        1         0
#> 26    15.77      1  49        0         1
#> 99.1  21.19      1  38        0         1
#> 88.1  18.37      1  47        0         0
#> 40.3  18.00      1  28        1         0
#> 99.2  21.19      1  38        0         1
#> 190   20.81      1  42        1         0
#> 110   17.56      1  65        0         1
#> 63.2  22.77      1  31        1         0
#> 91.1   5.33      1  61        0         1
#> 55    19.34      1  69        0         1
#> 24    23.89      1  38        0         0
#> 175   21.91      1  43        0         0
#> 70     7.38      1  30        1         0
#> 79    16.23      1  54        1         0
#> 107.3 11.18      1  54        1         0
#> 195   11.76      1  NA        1         0
#> 166.1 19.98      1  48        0         0
#> 79.1  16.23      1  54        1         0
#> 60    13.15      1  38        1         0
#> 56    12.21      1  60        0         0
#> 90.1  20.94      1  50        0         1
#> 128.2 20.35      1  35        0         1
#> 97.2  19.14      1  65        0         1
#> 86.2  23.81      1  58        0         1
#> 97.3  19.14      1  65        0         1
#> 134   17.81      1  47        1         0
#> 107.4 11.18      1  54        1         0
#> 70.1   7.38      1  30        1         0
#> 29    15.45      1  68        1         0
#> 99.3  21.19      1  38        0         1
#> 130   16.47      1  53        0         1
#> 60.1  13.15      1  38        1         0
#> 107.5 11.18      1  54        1         0
#> 55.1  19.34      1  69        0         1
#> 4     17.64      1  NA        0         1
#> 157   15.10      1  47        0         0
#> 179.1 18.63      1  42        0         0
#> 26.1  15.77      1  49        0         1
#> 97.4  19.14      1  65        0         1
#> 182   24.00      0  35        0         0
#> 173   24.00      0  19        0         1
#> 141   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 104   24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 120   24.00      0  68        0         1
#> 148   24.00      0  61        1         0
#> 53    24.00      0  32        0         1
#> 146   24.00      0  63        1         0
#> 47    24.00      0  38        0         1
#> 163   24.00      0  66        0         0
#> 198   24.00      0  66        0         1
#> 186   24.00      0  45        1         0
#> 137   24.00      0  45        1         0
#> 115.1 24.00      0  NA        1         0
#> 143   24.00      0  51        0         0
#> 115.2 24.00      0  NA        1         0
#> 103   24.00      0  56        1         0
#> 144   24.00      0  28        0         1
#> 11    24.00      0  42        0         1
#> 7     24.00      0  37        1         0
#> 54    24.00      0  53        1         0
#> 94    24.00      0  51        0         1
#> 31.1  24.00      0  36        0         1
#> 160   24.00      0  31        1         0
#> 146.1 24.00      0  63        1         0
#> 196   24.00      0  19        0         0
#> 82    24.00      0  34        0         0
#> 162   24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 115.3 24.00      0  NA        1         0
#> 126   24.00      0  48        0         0
#> 80    24.00      0  41        0         0
#> 174   24.00      0  49        1         0
#> 148.1 24.00      0  61        1         0
#> 173.1 24.00      0  19        0         1
#> 34    24.00      0  36        0         0
#> 31.2  24.00      0  36        0         1
#> 54.1  24.00      0  53        1         0
#> 102   24.00      0  49        0         0
#> 87    24.00      0  27        0         0
#> 3     24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 73    24.00      0  NA        0         1
#> 126.1 24.00      0  48        0         0
#> 182.1 24.00      0  35        0         0
#> 46    24.00      0  71        0         0
#> 87.1  24.00      0  27        0         0
#> 148.2 24.00      0  61        1         0
#> 87.2  24.00      0  27        0         0
#> 156   24.00      0  50        1         0
#> 103.1 24.00      0  56        1         0
#> 9     24.00      0  31        1         0
#> 102.1 24.00      0  49        0         0
#> 48    24.00      0  31        1         0
#> 7.1   24.00      0  37        1         0
#> 112   24.00      0  61        0         0
#> 126.2 24.00      0  48        0         0
#> 48.1  24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 163.1 24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 35    24.00      0  51        0         0
#> 1.1   24.00      0  23        1         0
#> 160.2 24.00      0  31        1         0
#> 143.1 24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 182.2 24.00      0  35        0         0
#> 198.1 24.00      0  66        0         1
#> 142.1 24.00      0  53        0         0
#> 73.1  24.00      0  NA        0         1
#> 135   24.00      0  58        1         0
#> 160.3 24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 22    24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 138   24.00      0  44        1         0
#> 47.1  24.00      0  38        0         1
#> 12.1  24.00      0  63        0         0
#> 135.1 24.00      0  58        1         0
#> 33    24.00      0  53        0         0
#> 67    24.00      0  25        0         0
#> 2.1   24.00      0   9        0         0
#> 27    24.00      0  63        1         0
#> 148.3 24.00      0  61        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.817         NA        NA      NA
#> 2 age, Cure model           0.0112        NA        NA      NA
#> 3 grade_ii, Cure model      0.296         NA        NA      NA
#> 4 grade_iii, Cure model     1.44          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00874        NA        NA      NA
#> 2 grade_ii, Survival model   0.647          NA        NA      NA
#> 3 grade_iii, Survival model  0.0532         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.81663           0.01117           0.29566           1.43944  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    256.4 
#> Residual Deviance: 239.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.81662637       0.01117173       0.29565540       1.43943550 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008739633      0.647480821      0.053201911 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8623780 0.5915990 0.8794555 0.9666531 0.6164439 0.1194595 0.8960531
#>   [8] 0.2650209 0.7077356 0.9068978 0.8274330 0.3307467 0.7288938 0.8960531
#>  [15] 0.7567972 0.9068978 0.9519307 0.3048092 0.8274330 0.6567239 0.7900554
#>  [22] 0.7428806 0.9569270 0.6567239 0.1876064 0.6567239 0.4657303 0.4229241
#>  [29] 0.8681026 0.7077356 0.9858638 0.8026565 0.7288938 0.2080174 0.2278236
#>  [36] 0.6327021 0.7077356 0.7900554 0.8151777 0.6081487 0.5505909 0.2466643
#>  [43] 0.8738196 0.3048092 0.4657303 0.8026565 0.3688589 0.4955470 0.9368539
#>  [50] 0.5238666 0.3563863 0.6932823 0.3688589 0.6487610 0.6327021 0.2650209
#>  [57] 0.5051705 0.5505909 0.9906073 0.9469228 0.9715247 0.9068978 0.1194595
#>  [64] 0.8450816 0.4552761 0.9418973 0.8850456 0.9569270 0.7769459 0.3688589
#>  [71] 0.6164439 0.6567239 0.3688589 0.4447081 0.7005410 0.2650209 0.9906073
#>  [78] 0.5238666 0.0582979 0.3436755 0.9763588 0.7636981 0.9068978 0.5051705
#>  [85] 0.7636981 0.8509476 0.8905611 0.4229241 0.4657303 0.5505909 0.1194595
#>  [92] 0.5505909 0.6859935 0.9068978 0.9763588 0.8213616 0.3688589 0.7498607
#>  [99] 0.8509476 0.9068978 0.5238666 0.8391989 0.5915990 0.7769459 0.5505909
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   155   179   154   101    88    86    43    63   117   107    18    66    45 
#> 13.08 18.63 12.63  9.97 18.37 23.81 12.10 22.77 17.46 11.18 15.21 22.13 17.42 
#>  43.1   181 107.1    61    15  18.1    40   125    23   145  40.1   129  40.2 
#> 12.10 16.46 11.18 10.12 22.68 15.21 18.00 15.65 16.92 10.07 18.00 23.41 18.00 
#>   128    90    14 117.1    77     6  45.1    69    92   108 117.2 125.1   167 
#> 20.35 20.94 12.89 17.46  7.27 15.64 17.42 23.23 22.92 18.29 17.46 15.65 15.55 
#>     8    97   113   140  15.1 128.1   6.1    36   158   159    58   136   184 
#> 18.43 19.14 22.86 12.68 22.68 20.35 15.64 21.19 20.14 10.55 19.34 21.83 17.77 
#>    99    51 108.1  63.1   166  97.1    91    93   149 107.2  86.1    96    68 
#> 21.19 18.23 18.29 22.77 19.98 19.14  5.33 10.33  8.37 11.18 23.81 14.54 20.62 
#>    52    37 145.1    26  99.1  88.1  40.3  99.2   190   110  63.2  91.1    55 
#> 10.42 12.52 10.07 15.77 21.19 18.37 18.00 21.19 20.81 17.56 22.77  5.33 19.34 
#>    24   175    70    79 107.3 166.1  79.1    60    56  90.1 128.2  97.2  86.2 
#> 23.89 21.91  7.38 16.23 11.18 19.98 16.23 13.15 12.21 20.94 20.35 19.14 23.81 
#>  97.3   134 107.4  70.1    29  99.3   130  60.1 107.5  55.1   157 179.1  26.1 
#> 19.14 17.81 11.18  7.38 15.45 21.19 16.47 13.15 11.18 19.34 15.10 18.63 15.77 
#>  97.4   182   173   141    31   104   121   120   148    53   146    47   163 
#> 19.14 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198   186   137   143   103   144    11     7    54    94  31.1   160 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196    82   162   142   126    80   174 148.1 173.1    34  31.2  54.1   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87     3     1 126.1 182.1    46  87.1 148.2  87.2   156 103.1     9 102.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48   7.1   112 126.2  48.1 160.1 174.1 163.1    21    35   1.1 160.2 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12 182.2 198.1 142.1   135 160.3     2    22    84   138  47.1  12.1 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33    67   2.1    27 148.3 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[50]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002905154               0.788232186               0.268003416 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.173824138             0.008351813            -0.398818485 
#>   grade_iii, Cure model 
#>             0.331679195 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 29    15.45      1  68        1         0
#> 90    20.94      1  50        0         1
#> 36    21.19      1  48        0         1
#> 153   21.33      1  55        1         0
#> 189   10.51      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 105   19.75      1  60        0         0
#> 40    18.00      1  28        1         0
#> 190   20.81      1  42        1         0
#> 36.1  21.19      1  48        0         1
#> 78    23.88      1  43        0         0
#> 128   20.35      1  35        0         1
#> 90.1  20.94      1  50        0         1
#> 60    13.15      1  38        1         0
#> 105.1 19.75      1  60        0         0
#> 188   16.16      1  46        0         1
#> 79    16.23      1  54        1         0
#> 140   12.68      1  59        1         0
#> 105.2 19.75      1  60        0         0
#> 41    18.02      1  40        1         0
#> 127    3.53      1  62        0         1
#> 52    10.42      1  52        0         1
#> 130   16.47      1  53        0         1
#> 85    16.44      1  36        0         0
#> 177   12.53      1  75        0         0
#> 78.1  23.88      1  43        0         0
#> 69    23.23      1  25        0         1
#> 56    12.21      1  60        0         0
#> 130.1 16.47      1  53        0         1
#> 78.2  23.88      1  43        0         0
#> 37    12.52      1  57        1         0
#> 167   15.55      1  56        1         0
#> 114   13.68      1  NA        0         0
#> 18    15.21      1  49        1         0
#> 166   19.98      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 177.1 12.53      1  75        0         0
#> 123   13.00      1  44        1         0
#> 101    9.97      1  10        0         1
#> 58    19.34      1  39        0         0
#> 50    10.02      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 14    12.89      1  21        0         0
#> 167.1 15.55      1  56        1         0
#> 51    18.23      1  83        0         1
#> 41.1  18.02      1  40        1         0
#> 164   23.60      1  76        0         1
#> 177.2 12.53      1  75        0         0
#> 91     5.33      1  61        0         1
#> 40.1  18.00      1  28        1         0
#> 15    22.68      1  48        0         0
#> 15.1  22.68      1  48        0         0
#> 169   22.41      1  46        0         0
#> 59    10.16      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 170   19.54      1  43        0         1
#> 175   21.91      1  43        0         0
#> 79.1  16.23      1  54        1         0
#> 128.1 20.35      1  35        0         1
#> 97    19.14      1  65        0         1
#> 190.1 20.81      1  42        1         0
#> 49    12.19      1  48        1         0
#> 194   22.40      1  38        0         1
#> 79.2  16.23      1  54        1         0
#> 58.1  19.34      1  39        0         0
#> 16     8.71      1  71        0         1
#> 6     15.64      1  39        0         0
#> 164.1 23.60      1  76        0         1
#> 25     6.32      1  34        1         0
#> 106   16.67      1  49        1         0
#> 6.1   15.64      1  39        0         0
#> 195   11.76      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 168   23.72      1  70        0         0
#> 8.1   18.43      1  32        0         0
#> 23    16.92      1  61        0         0
#> 194.1 22.40      1  38        0         1
#> 36.2  21.19      1  48        0         1
#> 16.1   8.71      1  71        0         1
#> 88    18.37      1  47        0         0
#> 166.1 19.98      1  48        0         0
#> 170.1 19.54      1  43        0         1
#> 91.1   5.33      1  61        0         1
#> 145   10.07      1  65        1         0
#> 49.1  12.19      1  48        1         0
#> 70     7.38      1  30        1         0
#> 59.1  10.16      1  NA        1         0
#> 37.1  12.52      1  57        1         0
#> 96    14.54      1  33        0         1
#> 93.1  10.33      1  52        0         1
#> 149    8.37      1  33        1         0
#> 36.3  21.19      1  48        0         1
#> 8.2   18.43      1  32        0         0
#> 187    9.92      1  39        1         0
#> 76    19.22      1  54        0         1
#> 61    10.12      1  36        0         1
#> 59.2  10.16      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 155   13.08      1  26        0         0
#> 158   20.14      1  74        1         0
#> 76.1  19.22      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 124.1  9.73      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 40.2  18.00      1  28        1         0
#> 155.1 13.08      1  26        0         0
#> 32    20.90      1  37        1         0
#> 57    14.46      1  45        0         1
#> 13    14.34      1  54        0         1
#> 129   23.41      1  53        1         0
#> 199.1 19.81      1  NA        0         1
#> 186   24.00      0  45        1         0
#> 178   24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 94    24.00      0  51        0         1
#> 28    24.00      0  67        1         0
#> 22    24.00      0  52        1         0
#> 147   24.00      0  76        1         0
#> 104   24.00      0  50        1         0
#> 34    24.00      0  36        0         0
#> 83    24.00      0   6        0         0
#> 65    24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 138   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 83.1  24.00      0   6        0         0
#> 185   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 82    24.00      0  34        0         0
#> 98    24.00      0  34        1         0
#> 84    24.00      0  39        0         1
#> 165   24.00      0  47        0         0
#> 22.1  24.00      0  52        1         0
#> 72    24.00      0  40        0         1
#> 73    24.00      0  NA        0         1
#> 17    24.00      0  38        0         1
#> 135   24.00      0  58        1         0
#> 21    24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 178.1 24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 122.1 24.00      0  66        0         0
#> 160.1 24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 178.2 24.00      0  52        1         0
#> 38    24.00      0  31        1         0
#> 138.1 24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 103   24.00      0  56        1         0
#> 73.1  24.00      0  NA        0         1
#> 98.1  24.00      0  34        1         0
#> 104.1 24.00      0  50        1         0
#> 173   24.00      0  19        0         1
#> 62    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 62.1  24.00      0  71        0         0
#> 104.2 24.00      0  50        1         0
#> 176   24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 147.1 24.00      0  76        1         0
#> 122.2 24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 109   24.00      0  48        0         0
#> 147.2 24.00      0  76        1         0
#> 191.1 24.00      0  60        0         1
#> 94.1  24.00      0  51        0         1
#> 3     24.00      0  31        1         0
#> 119.1 24.00      0  17        0         0
#> 185.1 24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 1     24.00      0  23        1         0
#> 120   24.00      0  68        0         1
#> 162   24.00      0  51        0         0
#> 72.1  24.00      0  40        0         1
#> 19    24.00      0  57        0         1
#> 104.3 24.00      0  50        1         0
#> 162.1 24.00      0  51        0         0
#> 165.1 24.00      0  47        0         0
#> 72.2  24.00      0  40        0         1
#> 176.1 24.00      0  43        0         1
#> 72.3  24.00      0  40        0         1
#> 160.2 24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 19.1  24.00      0  57        0         1
#> 80    24.00      0  41        0         0
#> 103.1 24.00      0  56        1         0
#> 19.2  24.00      0  57        0         1
#> 20    24.00      0  46        1         0
#> 20.1  24.00      0  46        1         0
#> 73.2  24.00      0  NA        0         1
#> 94.2  24.00      0  51        0         1
#> 176.2 24.00      0  43        0         1
#> 138.2 24.00      0  44        1         0
#> 1.1   24.00      0  23        1         0
#> 11    24.00      0  42        0         1
#> 71    24.00      0  51        0         0
#> 200.1 24.00      0  64        0         0
#> 115   24.00      0  NA        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.174          NA        NA      NA
#> 2 age, Cure model          0.00835        NA        NA      NA
#> 3 grade_ii, Cure model    -0.399          NA        NA      NA
#> 4 grade_iii, Cure model    0.332          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00291        NA        NA      NA
#> 2 grade_ii, Survival model   0.788          NA        NA      NA
#> 3 grade_iii, Survival model  0.268          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.173824          0.008352         -0.398818          0.331679  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    253.7 
#> Residual Deviance: 248.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.173824138      0.008351813     -0.398818485      0.331679195 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002905154      0.788232186      0.268003416 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.72242995 0.26895510 0.22429465 0.21182304 0.04922549 0.37519104
#>   [7] 0.55813243 0.30337142 0.22429465 0.01585289 0.32417188 0.26895510
#>  [13] 0.76546996 0.37519104 0.67815205 0.65157766 0.80762647 0.37519104
#>  [19] 0.53834263 0.99229360 0.88163082 0.62377777 0.64225713 0.81595811
#>  [25] 0.01585289 0.12136940 0.85724080 0.62377777 0.01585289 0.84084645
#>  [31] 0.70496291 0.73113169 0.35493426 0.81595811 0.79082049 0.92189125
#>  [37] 0.42589498 0.88972915 0.79922086 0.70496291 0.52798695 0.53834263
#>  [43] 0.07998290 0.81595811 0.97692974 0.55813243 0.13445517 0.13445517
#>  [49] 0.15998055 0.48723626 0.40555137 0.19867473 0.65157766 0.32417188
#>  [55] 0.46668243 0.30337142 0.86549023 0.17343821 0.65157766 0.42589498
#>  [61] 0.93780541 0.68711142 0.07998290 0.96920577 0.61443496 0.68711142
#>  [67] 0.47694663 0.06425845 0.48723626 0.60496141 0.17343821 0.22429465
#>  [73] 0.93780541 0.51762575 0.35493426 0.40555137 0.97692974 0.91388263
#>  [79] 0.86549023 0.96142022 0.84084645 0.73974043 0.88972915 0.95357009
#>  [85] 0.22429465 0.48723626 0.92988115 0.44634337 0.90581596 0.58604126
#>  [91] 0.77394213 0.34473412 0.44634337 0.59551189 0.55813243 0.77394213
#>  [97] 0.29203810 0.74833039 0.75690588 0.10797375 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    29    90    36   153    86   105    40   190  36.1    78   128  90.1    60 
#> 15.45 20.94 21.19 21.33 23.81 19.75 18.00 20.81 21.19 23.88 20.35 20.94 13.15 
#> 105.1   188    79   140 105.2    41   127    52   130    85   177  78.1    69 
#> 19.75 16.16 16.23 12.68 19.75 18.02  3.53 10.42 16.47 16.44 12.53 23.88 23.23 
#>    56 130.1  78.2    37   167    18   166 177.1   123   101    58    93    14 
#> 12.21 16.47 23.88 12.52 15.55 15.21 19.98 12.53 13.00  9.97 19.34 10.33 12.89 
#> 167.1    51  41.1   164 177.2    91  40.1    15  15.1   169     8   170   175 
#> 15.55 18.23 18.02 23.60 12.53  5.33 18.00 22.68 22.68 22.41 18.43 19.54 21.91 
#>  79.1 128.1    97 190.1    49   194  79.2  58.1    16     6 164.1    25   106 
#> 16.23 20.35 19.14 20.81 12.19 22.40 16.23 19.34  8.71 15.64 23.60  6.32 16.67 
#>   6.1   179   168   8.1    23 194.1  36.2  16.1    88 166.1 170.1  91.1   145 
#> 15.64 18.63 23.72 18.43 16.92 22.40 21.19  8.71 18.37 19.98 19.54  5.33 10.07 
#>  49.1    70  37.1    96  93.1   149  36.3   8.2   187    76    61   184   155 
#> 12.19  7.38 12.52 14.54 10.33  8.37 21.19 18.43  9.92 19.22 10.12 17.77 13.08 
#>   158  76.1   111  40.2 155.1    32    57    13   129   186   178    87    94 
#> 20.14 19.22 17.45 18.00 13.08 20.90 14.46 14.34 23.41 24.00 24.00 24.00 24.00 
#>    28    22   147   104    34    83    65   148   138   160   191  83.1   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119    82    98    84   165  22.1    72    17   135    21   122 178.1    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.1 160.1    54 178.2    38 138.1   182   103  98.1 104.1   173    62    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.1 104.2   176   196 147.1 122.2    46   109 147.2 191.1  94.1     3 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1     7     1   120   162  72.1    19 104.3 162.1 165.1  72.2 176.1  72.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.2   200  19.1    80 103.1  19.2    20  20.1  94.2 176.2 138.2   1.1    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71 200.1 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[51]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001203719               0.263225593               0.169535778 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.635349695             0.007104776             0.285745462 
#>   grade_iii, Cure model 
#>             1.168478324 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 55    19.34      1  69        0         1
#> 85    16.44      1  36        0         0
#> 26    15.77      1  49        0         1
#> 181   16.46      1  45        0         1
#> 136   21.83      1  43        0         1
#> 69    23.23      1  25        0         1
#> 111   17.45      1  47        0         1
#> 88    18.37      1  47        0         0
#> 175   21.91      1  43        0         0
#> 101    9.97      1  10        0         1
#> 199   19.81      1  NA        0         1
#> 183    9.24      1  67        1         0
#> 124    9.73      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 169   22.41      1  46        0         0
#> 154   12.63      1  20        1         0
#> 153   21.33      1  55        1         0
#> 58    19.34      1  39        0         0
#> 183.1  9.24      1  67        1         0
#> 130   16.47      1  53        0         1
#> 150   20.33      1  48        0         0
#> 128   20.35      1  35        0         1
#> 170   19.54      1  43        0         1
#> 14    12.89      1  21        0         0
#> 6     15.64      1  39        0         0
#> 15    22.68      1  48        0         0
#> 170.1 19.54      1  43        0         1
#> 43    12.10      1  61        0         1
#> 180   14.82      1  37        0         0
#> 106   16.67      1  49        1         0
#> 180.1 14.82      1  37        0         0
#> 89    11.44      1  NA        0         0
#> 106.1 16.67      1  49        1         0
#> 153.1 21.33      1  55        1         0
#> 60    13.15      1  38        1         0
#> 88.1  18.37      1  47        0         0
#> 159   10.55      1  50        0         1
#> 23    16.92      1  61        0         0
#> 190   20.81      1  42        1         0
#> 70     7.38      1  30        1         0
#> 107   11.18      1  54        1         0
#> 60.1  13.15      1  38        1         0
#> 175.1 21.91      1  43        0         0
#> 127    3.53      1  62        0         1
#> 187    9.92      1  39        1         0
#> 56    12.21      1  60        0         0
#> 159.1 10.55      1  50        0         1
#> 125   15.65      1  67        1         0
#> 167   15.55      1  56        1         0
#> 107.1 11.18      1  54        1         0
#> 139   21.49      1  63        1         0
#> 26.1  15.77      1  49        0         1
#> 166   19.98      1  48        0         0
#> 59    10.16      1  NA        1         0
#> 167.1 15.55      1  56        1         0
#> 66    22.13      1  53        0         0
#> 113   22.86      1  34        0         0
#> 70.1   7.38      1  30        1         0
#> 30    17.43      1  78        0         0
#> 55.1  19.34      1  69        0         1
#> 108.1 18.29      1  39        0         1
#> 90    20.94      1  50        0         1
#> 133   14.65      1  57        0         0
#> 55.2  19.34      1  69        0         1
#> 192   16.44      1  31        1         0
#> 45    17.42      1  54        0         1
#> 123   13.00      1  44        1         0
#> 123.1 13.00      1  44        1         0
#> 86    23.81      1  58        0         1
#> 133.1 14.65      1  57        0         0
#> 76    19.22      1  54        0         1
#> 90.1  20.94      1  50        0         1
#> 130.1 16.47      1  53        0         1
#> 96    14.54      1  33        0         1
#> 81    14.06      1  34        0         0
#> 100   16.07      1  60        0         0
#> 36    21.19      1  48        0         1
#> 183.2  9.24      1  67        1         0
#> 41    18.02      1  40        1         0
#> 41.1  18.02      1  40        1         0
#> 114   13.68      1  NA        0         0
#> 192.1 16.44      1  31        1         0
#> 40    18.00      1  28        1         0
#> 42    12.43      1  49        0         1
#> 58.1  19.34      1  39        0         0
#> 39    15.59      1  37        0         1
#> 63    22.77      1  31        1         0
#> 199.1 19.81      1  NA        0         1
#> 50    10.02      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 139.1 21.49      1  63        1         0
#> 114.1 13.68      1  NA        0         0
#> 197   21.60      1  69        1         0
#> 23.1  16.92      1  61        0         0
#> 167.2 15.55      1  56        1         0
#> 149    8.37      1  33        1         0
#> 129   23.41      1  53        1         0
#> 145   10.07      1  65        1         0
#> 45.1  17.42      1  54        0         1
#> 188   16.16      1  46        0         1
#> 77     7.27      1  67        0         1
#> 39.1  15.59      1  37        0         1
#> 89.1  11.44      1  NA        0         0
#> 57    14.46      1  45        0         1
#> 158   20.14      1  74        1         0
#> 181.1 16.46      1  45        0         1
#> 13    14.34      1  54        0         1
#> 59.1  10.16      1  NA        1         0
#> 159.2 10.55      1  50        0         1
#> 99    21.19      1  38        0         1
#> 63.1  22.77      1  31        1         0
#> 128.1 20.35      1  35        0         1
#> 178   24.00      0  52        1         0
#> 156   24.00      0  50        1         0
#> 131   24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 163   24.00      0  66        0         0
#> 65    24.00      0  57        1         0
#> 147.1 24.00      0  76        1         0
#> 104   24.00      0  50        1         0
#> 65.1  24.00      0  57        1         0
#> 80    24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 193   24.00      0  45        0         1
#> 34    24.00      0  36        0         0
#> 19    24.00      0  57        0         1
#> 95    24.00      0  68        0         1
#> 31    24.00      0  36        0         1
#> 151   24.00      0  42        0         0
#> 82    24.00      0  34        0         0
#> 143   24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 118   24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 12    24.00      0  63        0         0
#> 72    24.00      0  40        0         1
#> 2     24.00      0   9        0         0
#> 12.1  24.00      0  63        0         0
#> 119   24.00      0  17        0         0
#> 126   24.00      0  48        0         0
#> 156.1 24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 3     24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 65.2  24.00      0  57        1         0
#> 160   24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 116.1 24.00      0  58        0         1
#> 174   24.00      0  49        1         0
#> 185.1 24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 33    24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 104.1 24.00      0  50        1         0
#> 3.1   24.00      0  31        1         0
#> 185.2 24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 165   24.00      0  47        0         0
#> 22    24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 44.1  24.00      0  56        0         0
#> 53    24.00      0  32        0         1
#> 173   24.00      0  19        0         1
#> 27    24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 17    24.00      0  38        0         1
#> 64    24.00      0  43        0         0
#> 67    24.00      0  25        0         0
#> 87    24.00      0  27        0         0
#> 73    24.00      0  NA        0         1
#> 67.1  24.00      0  25        0         0
#> 160.1 24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 147.2 24.00      0  76        1         0
#> 148   24.00      0  61        1         0
#> 173.1 24.00      0  19        0         1
#> 46    24.00      0  71        0         0
#> 119.1 24.00      0  17        0         0
#> 173.2 24.00      0  19        0         1
#> 109   24.00      0  48        0         0
#> 147.3 24.00      0  76        1         0
#> 84    24.00      0  39        0         1
#> 27.1  24.00      0  63        1         0
#> 44.2  24.00      0  56        0         0
#> 137   24.00      0  45        1         0
#> 146   24.00      0  63        1         0
#> 53.1  24.00      0  32        0         1
#> 135   24.00      0  58        1         0
#> 160.2 24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 147.4 24.00      0  76        1         0
#> 102   24.00      0  49        0         0
#> 71.1  24.00      0  51        0         0
#> 67.2  24.00      0  25        0         0
#> 118.1 24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.635          NA        NA      NA
#> 2 age, Cure model          0.00710        NA        NA      NA
#> 3 grade_ii, Cure model     0.286          NA        NA      NA
#> 4 grade_iii, Cure model    1.17           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00120        NA        NA      NA
#> 2 grade_ii, Survival model   0.263          NA        NA      NA
#> 3 grade_iii, Survival model  0.170          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.635350          0.007105          0.285745          1.168478  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 249.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.635349695      0.007104776      0.285745462      1.168478324 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001203719      0.263225593      0.169535778 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.37312098 0.60695576 0.65110124 0.58904397 0.17618335 0.05365716
#>   [7] 0.49703830 0.43011170 0.15089782 0.92049611 0.93667948 0.44948883
#>  [13] 0.12413192 0.83863117 0.22479841 0.37312098 0.93667948 0.57099463
#>  [19] 0.32171130 0.30097038 0.35298314 0.83028501 0.67738114 0.11062499
#>  [25] 0.35298314 0.86353912 0.72888350 0.55279416 0.72888350 0.55279416
#>  [31] 0.22479841 0.79693257 0.43011170 0.88815029 0.53436307 0.29023767
#>  [37] 0.96842617 0.87180895 0.79693257 0.15089782 0.99211268 0.92860061
#>  [43] 0.85524746 0.88815029 0.66861406 0.70344934 0.87180895 0.20161922
#>  [49] 0.65110124 0.34261792 0.70344934 0.13755721 0.06944021 0.96842617
#>  [55] 0.50646952 0.37312098 0.44948883 0.26888368 0.74592163 0.37312098
#>  [61] 0.60695576 0.51588348 0.81367233 0.81367233 0.01676258 0.74592163
#>  [67] 0.42028550 0.26888368 0.57099463 0.76293219 0.78845346 0.64222344
#>  [73] 0.24708375 0.93667948 0.46866630 0.46866630 0.60695576 0.48756147
#>  [79] 0.84694978 0.37312098 0.68614277 0.08509079 0.20161922 0.18907802
#>  [85] 0.53436307 0.70344934 0.96045735 0.03682906 0.91237737 0.51588348
#>  [91] 0.63333644 0.98420797 0.68614277 0.77146315 0.33223404 0.58904397
#>  [97] 0.77997053 0.88815029 0.24708375 0.08509079 0.30097038 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    55    85    26   181   136    69   111    88   175   101   183   108   169 
#> 19.34 16.44 15.77 16.46 21.83 23.23 17.45 18.37 21.91  9.97  9.24 18.29 22.41 
#>   154   153    58 183.1   130   150   128   170    14     6    15 170.1    43 
#> 12.63 21.33 19.34  9.24 16.47 20.33 20.35 19.54 12.89 15.64 22.68 19.54 12.10 
#>   180   106 180.1 106.1 153.1    60  88.1   159    23   190    70   107  60.1 
#> 14.82 16.67 14.82 16.67 21.33 13.15 18.37 10.55 16.92 20.81  7.38 11.18 13.15 
#> 175.1   127   187    56 159.1   125   167 107.1   139  26.1   166 167.1    66 
#> 21.91  3.53  9.92 12.21 10.55 15.65 15.55 11.18 21.49 15.77 19.98 15.55 22.13 
#>   113  70.1    30  55.1 108.1    90   133  55.2   192    45   123 123.1    86 
#> 22.86  7.38 17.43 19.34 18.29 20.94 14.65 19.34 16.44 17.42 13.00 13.00 23.81 
#> 133.1    76  90.1 130.1    96    81   100    36 183.2    41  41.1 192.1    40 
#> 14.65 19.22 20.94 16.47 14.54 14.06 16.07 21.19  9.24 18.02 18.02 16.44 18.00 
#>    42  58.1    39    63 139.1   197  23.1 167.2   149   129   145  45.1   188 
#> 12.43 19.34 15.59 22.77 21.49 21.60 16.92 15.55  8.37 23.41 10.07 17.42 16.16 
#>    77  39.1    57   158 181.1    13 159.2    99  63.1 128.1   178   156   131 
#>  7.27 15.59 14.46 20.14 16.46 14.34 10.55 21.19 22.77 20.35 24.00 24.00 24.00 
#>   147   163    65 147.1   104  65.1    80   185    62   193    34    19    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   151    82   143 143.1    44   118   116    12    72     2  12.1   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126 156.1     7     3    71    21  65.2   160   182 116.1   174 185.1   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33    20 104.1   3.1 185.2    38  72.1   165    22    94  44.1    53   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27   186    17    64    67    87  67.1 160.1     1 147.2   148 173.1    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1 173.2   109 147.3    84  27.1  44.2   137   146  53.1   135 160.2 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.4   102  71.1  67.2 118.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[52]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001483094               0.306144029               0.037095854 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.745248488             0.009278938             0.696028708 
#>   grade_iii, Cure model 
#>             0.835785995 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 45    17.42      1  54        0         1
#> 25     6.32      1  34        1         0
#> 153   21.33      1  55        1         0
#> 50    10.02      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 56    12.21      1  60        0         0
#> 52    10.42      1  52        0         1
#> 110   17.56      1  65        0         1
#> 187    9.92      1  39        1         0
#> 127    3.53      1  62        0         1
#> 155   13.08      1  26        0         0
#> 125   15.65      1  67        1         0
#> 158   20.14      1  74        1         0
#> 117   17.46      1  26        0         1
#> 32    20.90      1  37        1         0
#> 79    16.23      1  54        1         0
#> 66    22.13      1  53        0         0
#> 69    23.23      1  25        0         1
#> 49    12.19      1  48        1         0
#> 90    20.94      1  50        0         1
#> 69.1  23.23      1  25        0         1
#> 5     16.43      1  51        0         1
#> 92    22.92      1  47        0         1
#> 70     7.38      1  30        1         0
#> 13    14.34      1  54        0         1
#> 30    17.43      1  78        0         0
#> 93    10.33      1  52        0         1
#> 169   22.41      1  46        0         0
#> 168   23.72      1  70        0         0
#> 77     7.27      1  67        0         1
#> 6     15.64      1  39        0         0
#> 197   21.60      1  69        1         0
#> 117.1 17.46      1  26        0         1
#> 189   10.51      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 10    10.53      1  34        0         0
#> 69.2  23.23      1  25        0         1
#> 167   15.55      1  56        1         0
#> 81    14.06      1  34        0         0
#> 25.1   6.32      1  34        1         0
#> 190   20.81      1  42        1         0
#> 101    9.97      1  10        0         1
#> 167.1 15.55      1  56        1         0
#> 192   16.44      1  31        1         0
#> 133   14.65      1  57        0         0
#> 23    16.92      1  61        0         0
#> 92.1  22.92      1  47        0         1
#> 197.1 21.60      1  69        1         0
#> 170.1 19.54      1  43        0         1
#> 128   20.35      1  35        0         1
#> 40    18.00      1  28        1         0
#> 133.1 14.65      1  57        0         0
#> 111   17.45      1  47        0         1
#> 134   17.81      1  47        1         0
#> 97    19.14      1  65        0         1
#> 183    9.24      1  67        1         0
#> 113   22.86      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 76    19.22      1  54        0         1
#> 49.1  12.19      1  48        1         0
#> 96    14.54      1  33        0         1
#> 111.1 17.45      1  47        0         1
#> 195   11.76      1  NA        1         0
#> 23.1  16.92      1  61        0         0
#> 199   19.81      1  NA        0         1
#> 149    8.37      1  33        1         0
#> 40.1  18.00      1  28        1         0
#> 36    21.19      1  48        0         1
#> 61    10.12      1  36        0         1
#> 99    21.19      1  38        0         1
#> 85    16.44      1  36        0         0
#> 41    18.02      1  40        1         0
#> 55    19.34      1  69        0         1
#> 195.1 11.76      1  NA        1         0
#> 79.1  16.23      1  54        1         0
#> 181   16.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 23.2  16.92      1  61        0         0
#> 40.2  18.00      1  28        1         0
#> 181.1 16.46      1  45        0         1
#> 113.1 22.86      1  34        0         0
#> 159   10.55      1  50        0         1
#> 177   12.53      1  75        0         0
#> 10.1  10.53      1  34        0         0
#> 32.1  20.90      1  37        1         0
#> 167.2 15.55      1  56        1         0
#> 78    23.88      1  43        0         0
#> 177.1 12.53      1  75        0         0
#> 171   16.57      1  41        0         1
#> 70.1   7.38      1  30        1         0
#> 42    12.43      1  49        0         1
#> 23.3  16.92      1  61        0         0
#> 117.2 17.46      1  26        0         1
#> 32.2  20.90      1  37        1         0
#> 52.1  10.42      1  52        0         1
#> 125.1 15.65      1  67        1         0
#> 8     18.43      1  32        0         0
#> 150   20.33      1  48        0         0
#> 167.3 15.55      1  56        1         0
#> 166   19.98      1  48        0         0
#> 127.1  3.53      1  62        0         1
#> 192.1 16.44      1  31        1         0
#> 184   17.77      1  38        0         0
#> 93.1  10.33      1  52        0         1
#> 36.1  21.19      1  48        0         1
#> 129   23.41      1  53        1         0
#> 164   23.60      1  76        0         1
#> 14    12.89      1  21        0         0
#> 40.3  18.00      1  28        1         0
#> 69.3  23.23      1  25        0         1
#> 29    15.45      1  68        1         0
#> 134.1 17.81      1  47        1         0
#> 144   24.00      0  28        0         1
#> 9     24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 163   24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 137   24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 1     24.00      0  23        1         0
#> 163.1 24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 46    24.00      0  71        0         0
#> 21    24.00      0  47        0         0
#> 186   24.00      0  45        1         0
#> 34.1  24.00      0  36        0         0
#> 34.2  24.00      0  36        0         0
#> 87    24.00      0  27        0         0
#> 62    24.00      0  71        0         0
#> 103   24.00      0  56        1         0
#> 33    24.00      0  53        0         0
#> 135   24.00      0  58        1         0
#> 2     24.00      0   9        0         0
#> 73    24.00      0  NA        0         1
#> 64    24.00      0  43        0         0
#> 132   24.00      0  55        0         0
#> 12    24.00      0  63        0         0
#> 20    24.00      0  46        1         0
#> 186.1 24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 144.1 24.00      0  28        0         1
#> 119   24.00      0  17        0         0
#> 119.1 24.00      0  17        0         0
#> 2.1   24.00      0   9        0         0
#> 72    24.00      0  40        0         1
#> 48    24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 176   24.00      0  43        0         1
#> 2.2   24.00      0   9        0         0
#> 12.1  24.00      0  63        0         0
#> 27    24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 71    24.00      0  51        0         0
#> 27.1  24.00      0  63        1         0
#> 198   24.00      0  66        0         1
#> 144.2 24.00      0  28        0         1
#> 186.2 24.00      0  45        1         0
#> 94.1  24.00      0  51        0         1
#> 35    24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 1.1   24.00      0  23        1         0
#> 193.1 24.00      0  45        0         1
#> 141   24.00      0  44        1         0
#> 137.1 24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 144.3 24.00      0  28        0         1
#> 12.2  24.00      0  63        0         0
#> 122   24.00      0  66        0         0
#> 198.1 24.00      0  66        0         1
#> 193.2 24.00      0  45        0         1
#> 163.2 24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 132.1 24.00      0  55        0         0
#> 196   24.00      0  19        0         0
#> 151.1 24.00      0  42        0         0
#> 9.1   24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 116.1 24.00      0  58        0         1
#> 198.2 24.00      0  66        0         1
#> 152   24.00      0  36        0         1
#> 176.1 24.00      0  43        0         1
#> 118   24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 198.3 24.00      0  66        0         1
#> 87.1  24.00      0  27        0         0
#> 176.2 24.00      0  43        0         1
#> 122.1 24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 2.3   24.00      0   9        0         0
#> 200   24.00      0  64        0         0
#> 185.1 24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 54    24.00      0  53        1         0
#> 87.2  24.00      0  27        0         0
#> 83    24.00      0   6        0         0
#> 31.1  24.00      0  36        0         1
#> 142   24.00      0  53        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.745          NA        NA      NA
#> 2 age, Cure model          0.00928        NA        NA      NA
#> 3 grade_ii, Cure model     0.696          NA        NA      NA
#> 4 grade_iii, Cure model    0.836          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00148        NA        NA      NA
#> 2 grade_ii, Survival model   0.306          NA        NA      NA
#> 3 grade_iii, Survival model  0.0371         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.745248          0.009279          0.696029          0.835786  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 257.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.745248488      0.009278938      0.696028708      0.835785995 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001483094      0.306144029      0.037095854 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.54724998 0.96897990 0.21936160 0.82535471 0.87366414 0.48476816
#>   [7] 0.92164532 0.98450678 0.78459262 0.67757414 0.33338541 0.49384193
#>  [13] 0.27300388 0.65189924 0.18476747 0.08033168 0.83349967 0.26209495
#>  [19] 0.08033168 0.64319004 0.12459213 0.94547873 0.76821140 0.53827998
#>  [25] 0.88966308 0.17246545 0.03052954 0.96113102 0.69442634 0.19700318
#>  [31] 0.49384193 0.35329319 0.85762967 0.08033168 0.70289804 0.77640424
#>  [37] 0.96897990 0.30294647 0.91363818 0.70289804 0.61737347 0.74367303
#>  [43] 0.55620175 0.12459213 0.19700318 0.35329319 0.31312102 0.42162117
#>  [49] 0.74367303 0.52045334 0.45762813 0.39242990 0.92962204 0.14862405
#>  [55] 0.38262329 0.83349967 0.76000768 0.52045334 0.55620175 0.93756468
#>  [61] 0.42162117 0.23056373 0.90562730 0.23056373 0.61737347 0.41196189
#>  [67] 0.37278535 0.65189924 0.59981876 0.66898753 0.55620175 0.42162117
#>  [73] 0.59981876 0.14862405 0.84956679 0.80095999 0.85762967 0.27300388
#>  [79] 0.70289804 0.01194696 0.80095999 0.59094763 0.94547873 0.81720226
#>  [85] 0.55620175 0.49384193 0.27300388 0.87366414 0.67757414 0.40220165
#>  [91] 0.32326491 0.70289804 0.34334993 0.98450678 0.61737347 0.47567008
#>  [97] 0.88966308 0.23056373 0.06524148 0.04834741 0.79277764 0.42162117
#> [103] 0.08033168 0.73544434 0.45762813 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    45    25   153    56    52   110   187   127   155   125   158   117    32 
#> 17.42  6.32 21.33 12.21 10.42 17.56  9.92  3.53 13.08 15.65 20.14 17.46 20.90 
#>    79    66    69    49    90  69.1     5    92    70    13    30    93   169 
#> 16.23 22.13 23.23 12.19 20.94 23.23 16.43 22.92  7.38 14.34 17.43 10.33 22.41 
#>   168    77     6   197 117.1   170    10  69.2   167    81  25.1   190   101 
#> 23.72  7.27 15.64 21.60 17.46 19.54 10.53 23.23 15.55 14.06  6.32 20.81  9.97 
#> 167.1   192   133    23  92.1 197.1 170.1   128    40 133.1   111   134    97 
#> 15.55 16.44 14.65 16.92 22.92 21.60 19.54 20.35 18.00 14.65 17.45 17.81 19.14 
#>   183   113    76  49.1    96 111.1  23.1   149  40.1    36    61    99    85 
#>  9.24 22.86 19.22 12.19 14.54 17.45 16.92  8.37 18.00 21.19 10.12 21.19 16.44 
#>    41    55  79.1   181    26  23.2  40.2 181.1 113.1   159   177  10.1  32.1 
#> 18.02 19.34 16.23 16.46 15.77 16.92 18.00 16.46 22.86 10.55 12.53 10.53 20.90 
#> 167.2    78 177.1   171  70.1    42  23.3 117.2  32.2  52.1 125.1     8   150 
#> 15.55 23.88 12.53 16.57  7.38 12.43 16.92 17.46 20.90 10.42 15.65 18.43 20.33 
#> 167.3   166 127.1 192.1   184  93.1  36.1   129   164    14  40.3  69.3    29 
#> 15.55 19.98  3.53 16.44 17.77 10.33 21.19 23.41 23.60 12.89 18.00 23.23 15.45 
#> 134.1   144     9   193   163    34   137    75     1 163.1    94    46    21 
#> 17.81 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186  34.1  34.2    87    62   103    33   135     2    64   132    12    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.1   151 144.1   119 119.1   2.1    72    48    38    31   176   2.2  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27   185    98    71  27.1   198 144.2 186.2  94.1    35    19   1.1 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141 137.1   120   112 144.3  12.2   122 198.1 193.2 163.2   116 132.1   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1   9.1  75.1 116.1 198.2   152 176.1   118  46.1 198.3  87.1 176.2 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191   2.3   200 185.1    28    54  87.2    83  31.1   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[53]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004591025               0.731447204               0.394522451 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.054172332             0.002707048             0.184201050 
#>   grade_iii, Cure model 
#>            -0.003372612 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 10    10.53      1  34        0         0
#> 113   22.86      1  34        0         0
#> 92    22.92      1  47        0         1
#> 184   17.77      1  38        0         0
#> 32    20.90      1  37        1         0
#> 99    21.19      1  38        0         1
#> 189   10.51      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 8     18.43      1  32        0         0
#> 68    20.62      1  44        0         0
#> 29    15.45      1  68        1         0
#> 157   15.10      1  47        0         0
#> 158   20.14      1  74        1         0
#> 127    3.53      1  62        0         1
#> 106   16.67      1  49        1         0
#> 111   17.45      1  47        0         1
#> 177   12.53      1  75        0         0
#> 63    22.77      1  31        1         0
#> 108   18.29      1  39        0         1
#> 164   23.60      1  76        0         1
#> 40    18.00      1  28        1         0
#> 59    10.16      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 179   18.63      1  42        0         0
#> 192   16.44      1  31        1         0
#> 92.1  22.92      1  47        0         1
#> 106.1 16.67      1  49        1         0
#> 36    21.19      1  48        0         1
#> 40.1  18.00      1  28        1         0
#> 117   17.46      1  26        0         1
#> 108.1 18.29      1  39        0         1
#> 195   11.76      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 36.1  21.19      1  48        0         1
#> 26    15.77      1  49        0         1
#> 25     6.32      1  34        1         0
#> 159   10.55      1  50        0         1
#> 29.1  15.45      1  68        1         0
#> 81    14.06      1  34        0         0
#> 60    13.15      1  38        1         0
#> 43    12.10      1  61        0         1
#> 123   13.00      1  44        1         0
#> 184.1 17.77      1  38        0         0
#> 78.1  23.88      1  43        0         0
#> 57    14.46      1  45        0         1
#> 41    18.02      1  40        1         0
#> 25.1   6.32      1  34        1         0
#> 10.1  10.53      1  34        0         0
#> 63.1  22.77      1  31        1         0
#> 139   21.49      1  63        1         0
#> 8.1   18.43      1  32        0         0
#> 125   15.65      1  67        1         0
#> 25.2   6.32      1  34        1         0
#> 15    22.68      1  48        0         0
#> 184.2 17.77      1  38        0         0
#> 145   10.07      1  65        1         0
#> 77     7.27      1  67        0         1
#> 85    16.44      1  36        0         0
#> 192.1 16.44      1  31        1         0
#> 128   20.35      1  35        0         1
#> 15.1  22.68      1  48        0         0
#> 61    10.12      1  36        0         1
#> 77.1   7.27      1  67        0         1
#> 168   23.72      1  70        0         0
#> 169   22.41      1  46        0         0
#> 145.1 10.07      1  65        1         0
#> 63.2  22.77      1  31        1         0
#> 99.1  21.19      1  38        0         1
#> 99.2  21.19      1  38        0         1
#> 149    8.37      1  33        1         0
#> 59.1  10.16      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 55    19.34      1  69        0         1
#> 92.2  22.92      1  47        0         1
#> 86.1  23.81      1  58        0         1
#> 133   14.65      1  57        0         0
#> 110   17.56      1  65        0         1
#> 168.1 23.72      1  70        0         0
#> 177.1 12.53      1  75        0         0
#> 134   17.81      1  47        1         0
#> 50    10.02      1  NA        1         0
#> 177.2 12.53      1  75        0         0
#> 5     16.43      1  51        0         1
#> 110.1 17.56      1  65        0         1
#> 154   12.63      1  20        1         0
#> 43.1  12.10      1  61        0         1
#> 134.1 17.81      1  47        1         0
#> 105   19.75      1  60        0         0
#> 108.2 18.29      1  39        0         1
#> 52    10.42      1  52        0         1
#> 197   21.60      1  69        1         0
#> 195.1 11.76      1  NA        1         0
#> 154.1 12.63      1  20        1         0
#> 4     17.64      1  NA        0         1
#> 133.1 14.65      1  57        0         0
#> 125.1 15.65      1  67        1         0
#> 45    17.42      1  54        0         1
#> 91     5.33      1  61        0         1
#> 96.1  14.54      1  33        0         1
#> 50.1  10.02      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 25.3   6.32      1  34        1         0
#> 39    15.59      1  37        0         1
#> 197.1 21.60      1  69        1         0
#> 78.2  23.88      1  43        0         0
#> 179.1 18.63      1  42        0         0
#> 105.1 19.75      1  60        0         0
#> 169.1 22.41      1  46        0         0
#> 168.2 23.72      1  70        0         0
#> 8.2   18.43      1  32        0         0
#> 60.1  13.15      1  38        1         0
#> 168.3 23.72      1  70        0         0
#> 112   24.00      0  61        0         0
#> 34    24.00      0  36        0         0
#> 19    24.00      0  57        0         1
#> 12    24.00      0  63        0         0
#> 17    24.00      0  38        0         1
#> 64    24.00      0  43        0         0
#> 191   24.00      0  60        0         1
#> 144   24.00      0  28        0         1
#> 11    24.00      0  42        0         1
#> 34.1  24.00      0  36        0         0
#> 62    24.00      0  71        0         0
#> 152   24.00      0  36        0         1
#> 38    24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 34.2  24.00      0  36        0         0
#> 115   24.00      0  NA        1         0
#> 173   24.00      0  19        0         1
#> 34.3  24.00      0  36        0         0
#> 193   24.00      0  45        0         1
#> 193.1 24.00      0  45        0         1
#> 198   24.00      0  66        0         1
#> 94    24.00      0  51        0         1
#> 144.1 24.00      0  28        0         1
#> 73    24.00      0  NA        0         1
#> 46    24.00      0  71        0         0
#> 198.1 24.00      0  66        0         1
#> 126   24.00      0  48        0         0
#> 94.1  24.00      0  51        0         1
#> 116   24.00      0  58        0         1
#> 126.1 24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 172   24.00      0  41        0         0
#> 95.1  24.00      0  68        0         1
#> 185   24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 160   24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 174   24.00      0  49        1         0
#> 73.1  24.00      0  NA        0         1
#> 98    24.00      0  34        1         0
#> 74    24.00      0  43        0         1
#> 126.2 24.00      0  48        0         0
#> 73.2  24.00      0  NA        0         1
#> 186   24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 178   24.00      0  52        1         0
#> 7     24.00      0  37        1         0
#> 200.1 24.00      0  64        0         0
#> 22    24.00      0  52        1         0
#> 47    24.00      0  38        0         1
#> 73.3  24.00      0  NA        0         1
#> 132   24.00      0  55        0         0
#> 148   24.00      0  61        1         0
#> 33    24.00      0  53        0         0
#> 54    24.00      0  53        1         0
#> 198.2 24.00      0  66        0         1
#> 83    24.00      0   6        0         0
#> 1     24.00      0  23        1         0
#> 193.2 24.00      0  45        0         1
#> 72    24.00      0  40        0         1
#> 193.3 24.00      0  45        0         1
#> 19.1  24.00      0  57        0         1
#> 115.1 24.00      0  NA        1         0
#> 146   24.00      0  63        1         0
#> 48    24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 137   24.00      0  45        1         0
#> 193.4 24.00      0  45        0         1
#> 20    24.00      0  46        1         0
#> 102   24.00      0  49        0         0
#> 178.1 24.00      0  52        1         0
#> 83.1  24.00      0   6        0         0
#> 72.1  24.00      0  40        0         1
#> 64.1  24.00      0  43        0         0
#> 3     24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 33.1  24.00      0  53        0         0
#> 53    24.00      0  32        0         1
#> 173.1 24.00      0  19        0         1
#> 137.1 24.00      0  45        1         0
#> 174.1 24.00      0  49        1         0
#> 191.1 24.00      0  60        0         1
#> 104   24.00      0  50        1         0
#> 33.2  24.00      0  53        0         0
#> 163   24.00      0  66        0         0
#> 132.1 24.00      0  55        0         0
#> 198.3 24.00      0  66        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0542         NA        NA      NA
#> 2 age, Cure model          0.00271        NA        NA      NA
#> 3 grade_ii, Cure model     0.184          NA        NA      NA
#> 4 grade_iii, Cure model   -0.00337        NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00459        NA        NA      NA
#> 2 grade_ii, Survival model   0.731          NA        NA      NA
#> 3 grade_iii, Survival model  0.395          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.054172          0.002707          0.184201         -0.003373  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    255.2 
#> Residual Deviance: 254.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.054172332      0.002707048      0.184201050     -0.003372612 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004591025      0.731447204      0.394522451 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.87951780 0.16705185 0.13081943 0.53215174 0.33707103 0.28895104
#>   [7] 0.01338791 0.42639242 0.34706847 0.71152625 0.72857753 0.36709535
#>  [13] 0.99212457 0.61487641 0.58727331 0.83012801 0.18027587 0.45605189
#>  [19] 0.11658923 0.49504590 0.75435631 0.40657395 0.63281895 0.13081943
#>  [25] 0.61487641 0.28895104 0.49504590 0.57804042 0.45605189 0.66783256
#>  [31] 0.28895104 0.67668736 0.95305792 0.87125478 0.71152625 0.77999845
#>  [37] 0.78857816 0.85477921 0.80537332 0.53215174 0.01338791 0.77143236
#>  [43] 0.48525550 0.95305792 0.87951780 0.18027587 0.27818698 0.42639242
#>  [49] 0.68552081 0.95305792 0.21195176 0.53215174 0.91253516 0.93692229
#>  [55] 0.63281895 0.63281895 0.35711888 0.21195176 0.90428270 0.93692229
#>  [61] 0.06905332 0.23408270 0.91253516 0.18027587 0.28895104 0.28895104
#>  [67] 0.92880669 0.04526800 0.39662711 0.13081943 0.04526800 0.73717329
#>  [73] 0.55962973 0.06905332 0.83012801 0.51382474 0.83012801 0.65900593
#>  [79] 0.55962973 0.81375383 0.85477921 0.51382474 0.37694351 0.45605189
#>  [85] 0.89601080 0.25662061 0.81375383 0.73717329 0.68552081 0.59647788
#>  [91] 0.98424187 0.75435631 0.60566008 0.95305792 0.70283984 0.25662061
#>  [97] 0.01338791 0.40657395 0.37694351 0.23408270 0.06905332 0.42639242
#> [103] 0.78857816 0.06905332 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    10   113    92   184    32    99    78     8    68    29   157   158   127 
#> 10.53 22.86 22.92 17.77 20.90 21.19 23.88 18.43 20.62 15.45 15.10 20.14  3.53 
#>   106   111   177    63   108   164    40    96   179   192  92.1 106.1    36 
#> 16.67 17.45 12.53 22.77 18.29 23.60 18.00 14.54 18.63 16.44 22.92 16.67 21.19 
#>  40.1   117 108.1   100  36.1    26    25   159  29.1    81    60    43   123 
#> 18.00 17.46 18.29 16.07 21.19 15.77  6.32 10.55 15.45 14.06 13.15 12.10 13.00 
#> 184.1  78.1    57    41  25.1  10.1  63.1   139   8.1   125  25.2    15 184.2 
#> 17.77 23.88 14.46 18.02  6.32 10.53 22.77 21.49 18.43 15.65  6.32 22.68 17.77 
#>   145    77    85 192.1   128  15.1    61  77.1   168   169 145.1  63.2  99.1 
#> 10.07  7.27 16.44 16.44 20.35 22.68 10.12  7.27 23.72 22.41 10.07 22.77 21.19 
#>  99.2   149    86    55  92.2  86.1   133   110 168.1 177.1   134 177.2     5 
#> 21.19  8.37 23.81 19.34 22.92 23.81 14.65 17.56 23.72 12.53 17.81 12.53 16.43 
#> 110.1   154  43.1 134.1   105 108.2    52   197 154.1 133.1 125.1    45    91 
#> 17.56 12.63 12.10 17.81 19.75 18.29 10.42 21.60 12.63 14.65 15.65 17.42  5.33 
#>  96.1    23  25.3    39 197.1  78.2 179.1 105.1 169.1 168.2   8.2  60.1 168.3 
#> 14.54 16.92  6.32 15.59 21.60 23.88 18.63 19.75 22.41 23.72 18.43 13.15 23.72 
#>   112    34    19    12    17    64   191   144    11  34.1    62   152    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131   182  34.2   173  34.3   193 193.1   198    94 144.1    46 198.1   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1   116 126.1    95   172  95.1   185  46.1   160    44   174    98    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 126.2   186   200   178     7 200.1    22    47   132   148    33    54 198.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83     1 193.2    72 193.3  19.1   146    48   147   137 193.4    20   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.1  83.1  72.1  64.1     3   103  33.1    53 173.1 137.1 174.1 191.1   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.2   163 132.1 198.3 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[54]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00618098                0.69234994                0.42787812 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.77763546              0.01484763              0.10950600 
#>   grade_iii, Cure model 
#>              0.75034442 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 158   20.14      1  74        1         0
#> 106   16.67      1  49        1         0
#> 136   21.83      1  43        0         1
#> 177   12.53      1  75        0         0
#> 66    22.13      1  53        0         0
#> 70     7.38      1  30        1         0
#> 96    14.54      1  33        0         1
#> 41    18.02      1  40        1         0
#> 10    10.53      1  34        0         0
#> 51    18.23      1  83        0         1
#> 6     15.64      1  39        0         0
#> 60    13.15      1  38        1         0
#> 164   23.60      1  76        0         1
#> 175   21.91      1  43        0         0
#> 16     8.71      1  71        0         1
#> 129   23.41      1  53        1         0
#> 29    15.45      1  68        1         0
#> 78    23.88      1  43        0         0
#> 58    19.34      1  39        0         0
#> 136.1 21.83      1  43        0         1
#> 199   19.81      1  NA        0         1
#> 149    8.37      1  33        1         0
#> 37    12.52      1  57        1         0
#> 125   15.65      1  67        1         0
#> 155   13.08      1  26        0         0
#> 111   17.45      1  47        0         1
#> 99    21.19      1  38        0         1
#> 50    10.02      1  NA        1         0
#> 81    14.06      1  34        0         0
#> 179   18.63      1  42        0         0
#> 111.1 17.45      1  47        0         1
#> 25     6.32      1  34        1         0
#> 43    12.10      1  61        0         1
#> 184   17.77      1  38        0         0
#> 85    16.44      1  36        0         0
#> 97    19.14      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 99.1  21.19      1  38        0         1
#> 16.1   8.71      1  71        0         1
#> 4     17.64      1  NA        0         1
#> 154   12.63      1  20        1         0
#> 43.1  12.10      1  61        0         1
#> 111.2 17.45      1  47        0         1
#> 45    17.42      1  54        0         1
#> 45.1  17.42      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 41.1  18.02      1  40        1         0
#> 168   23.72      1  70        0         0
#> 51.1  18.23      1  83        0         1
#> 30    17.43      1  78        0         0
#> 189   10.51      1  NA        1         0
#> 154.1 12.63      1  20        1         0
#> 29.1  15.45      1  68        1         0
#> 55    19.34      1  69        0         1
#> 180   14.82      1  37        0         0
#> 113   22.86      1  34        0         0
#> 177.1 12.53      1  75        0         0
#> 90    20.94      1  50        0         1
#> 5     16.43      1  51        0         1
#> 42    12.43      1  49        0         1
#> 136.2 21.83      1  43        0         1
#> 134   17.81      1  47        1         0
#> 183    9.24      1  67        1         0
#> 157   15.10      1  47        0         0
#> 78.1  23.88      1  43        0         0
#> 79    16.23      1  54        1         0
#> 39    15.59      1  37        0         1
#> 18    15.21      1  49        1         0
#> 29.2  15.45      1  68        1         0
#> 89    11.44      1  NA        0         0
#> 140   12.68      1  59        1         0
#> 199.1 19.81      1  NA        0         1
#> 16.2   8.71      1  71        0         1
#> 101    9.97      1  10        0         1
#> 170   19.54      1  43        0         1
#> 79.1  16.23      1  54        1         0
#> 159   10.55      1  50        0         1
#> 168.1 23.72      1  70        0         0
#> 167   15.55      1  56        1         0
#> 24    23.89      1  38        0         0
#> 168.2 23.72      1  70        0         0
#> 150   20.33      1  48        0         0
#> 100   16.07      1  60        0         0
#> 41.2  18.02      1  40        1         0
#> 56    12.21      1  60        0         0
#> 51.2  18.23      1  83        0         1
#> 129.1 23.41      1  53        1         0
#> 30.1  17.43      1  78        0         0
#> 155.1 13.08      1  26        0         0
#> 189.1 10.51      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 6.1   15.64      1  39        0         0
#> 139   21.49      1  63        1         0
#> 8     18.43      1  32        0         0
#> 133   14.65      1  57        0         0
#> 189.2 10.51      1  NA        1         0
#> 189.3 10.51      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 10.1  10.53      1  34        0         0
#> 8.1   18.43      1  32        0         0
#> 61    10.12      1  36        0         1
#> 32    20.90      1  37        1         0
#> 130   16.47      1  53        0         1
#> 56.1  12.21      1  60        0         0
#> 181   16.46      1  45        0         1
#> 187    9.92      1  39        1         0
#> 43.2  12.10      1  61        0         1
#> 10.2  10.53      1  34        0         0
#> 51.3  18.23      1  83        0         1
#> 5.1   16.43      1  51        0         1
#> 183.1  9.24      1  67        1         0
#> 87    24.00      0  27        0         0
#> 160   24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 46    24.00      0  71        0         0
#> 84    24.00      0  39        0         1
#> 38    24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 83    24.00      0   6        0         0
#> 73    24.00      0  NA        0         1
#> 152   24.00      0  36        0         1
#> 160.1 24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 161   24.00      0  45        0         0
#> 22    24.00      0  52        1         0
#> 196   24.00      0  19        0         0
#> 176   24.00      0  43        0         1
#> 38.1  24.00      0  31        1         0
#> 46.1  24.00      0  71        0         0
#> 33    24.00      0  53        0         0
#> 12    24.00      0  63        0         0
#> 9     24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 172   24.00      0  41        0         0
#> 33.1  24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 95.1  24.00      0  68        0         1
#> 38.2  24.00      0  31        1         0
#> 22.1  24.00      0  52        1         0
#> 95.2  24.00      0  68        0         1
#> 141   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 12.1  24.00      0  63        0         0
#> 2     24.00      0   9        0         0
#> 151   24.00      0  42        0         0
#> 20    24.00      0  46        1         0
#> 65    24.00      0  57        1         0
#> 142   24.00      0  53        0         0
#> 121   24.00      0  57        1         0
#> 48    24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 198   24.00      0  66        0         1
#> 80.1  24.00      0  41        0         0
#> 135   24.00      0  58        1         0
#> 83.1  24.00      0   6        0         0
#> 191   24.00      0  60        0         1
#> 112   24.00      0  61        0         0
#> 196.1 24.00      0  19        0         0
#> 193   24.00      0  45        0         1
#> 162   24.00      0  51        0         0
#> 118.1 24.00      0  44        1         0
#> 46.2  24.00      0  71        0         0
#> 3     24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 163   24.00      0  66        0         0
#> 33.2  24.00      0  53        0         0
#> 152.1 24.00      0  36        0         1
#> 44    24.00      0  56        0         0
#> 62.1  24.00      0  71        0         0
#> 122   24.00      0  66        0         0
#> 87.1  24.00      0  27        0         0
#> 165   24.00      0  47        0         0
#> 116   24.00      0  58        0         1
#> 146   24.00      0  63        1         0
#> 144   24.00      0  28        0         1
#> 120   24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 115   24.00      0  NA        1         0
#> 1     24.00      0  23        1         0
#> 1.1   24.00      0  23        1         0
#> 144.1 24.00      0  28        0         1
#> 19    24.00      0  57        0         1
#> 147   24.00      0  76        1         0
#> 22.2  24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 35    24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 73.1  24.00      0  NA        0         1
#> 22.3  24.00      0  52        1         0
#> 142.1 24.00      0  53        0         0
#> 84.1  24.00      0  39        0         1
#> 67    24.00      0  25        0         0
#> 67.1  24.00      0  25        0         0
#> 160.2 24.00      0  31        1         0
#> 73.2  24.00      0  NA        0         1
#> 27    24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 65.1  24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.778         NA        NA      NA
#> 2 age, Cure model           0.0148        NA        NA      NA
#> 3 grade_ii, Cure model      0.110         NA        NA      NA
#> 4 grade_iii, Cure model     0.750         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00618        NA        NA      NA
#> 2 grade_ii, Survival model   0.692          NA        NA      NA
#> 3 grade_iii, Survival model  0.428          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.77764           0.01485           0.10951           0.75034  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.1 
#> Residual Deviance: 247.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.77763546       0.01484763       0.10950600       0.75034442 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00618098       0.69234994       0.42787812 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.23815326 0.48733687 0.14372005 0.77233373 0.12026213 0.97312927
#>   [7] 0.68838438 0.37010782 0.86397409 0.32987023 0.58430037 0.70730235
#>  [13] 0.06286689 0.13186910 0.93710720 0.07611564 0.62274828 0.01316877
#>  [19] 0.25864897 0.14372005 0.96409995 0.79068633 0.57468262 0.71670048
#>  [25] 0.41916624 0.18614234 0.69783121 0.29898153 0.41916624 0.99107684
#>  [31] 0.82741557 0.40923883 0.51675743 0.27883422 0.27883422 0.18614234
#>  [37] 0.93710720 0.75414151 0.82741557 0.41916624 0.46768700 0.46768700
#>  [43] 0.10896046 0.37010782 0.03113951 0.32987023 0.44795546 0.75414151
#>  [49] 0.62274828 0.25864897 0.66946458 0.09740497 0.77233373 0.20688790
#>  [55] 0.52657416 0.79987307 0.14372005 0.39936158 0.91903026 0.66005139
#>  [61] 0.01316877 0.54593941 0.60351196 0.65067192 0.62274828 0.74481652
#>  [67] 0.93710720 0.90069495 0.24843828 0.54593941 0.85476958 0.03113951
#>  [73] 0.61316133 0.00371766 0.03113951 0.22774934 0.56501296 0.37010782
#>  [79] 0.80904579 0.32987023 0.07611564 0.44795546 0.71670048 0.98210362
#>  [85] 0.58430037 0.17519726 0.30931186 0.67890491 0.73544605 0.86397409
#>  [91] 0.30931186 0.89145928 0.21746607 0.49716755 0.80904579 0.50697777
#>  [97] 0.90988894 0.82741557 0.86397409 0.32987023 0.52657416 0.91903026
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   158   106   136   177    66    70    96    41    10    51     6    60   164 
#> 20.14 16.67 21.83 12.53 22.13  7.38 14.54 18.02 10.53 18.23 15.64 13.15 23.60 
#>   175    16   129    29    78    58 136.1   149    37   125   155   111    99 
#> 21.91  8.71 23.41 15.45 23.88 19.34 21.83  8.37 12.52 15.65 13.08 17.45 21.19 
#>    81   179 111.1    25    43   184    85    97  97.1  99.1  16.1   154  43.1 
#> 14.06 18.63 17.45  6.32 12.10 17.77 16.44 19.14 19.14 21.19  8.71 12.63 12.10 
#> 111.2    45  45.1   194  41.1   168  51.1    30 154.1  29.1    55   180   113 
#> 17.45 17.42 17.42 22.40 18.02 23.72 18.23 17.43 12.63 15.45 19.34 14.82 22.86 
#> 177.1    90     5    42 136.2   134   183   157  78.1    79    39    18  29.2 
#> 12.53 20.94 16.43 12.43 21.83 17.81  9.24 15.10 23.88 16.23 15.59 15.21 15.45 
#>   140  16.2   101   170  79.1   159 168.1   167    24 168.2   150   100  41.2 
#> 12.68  8.71  9.97 19.54 16.23 10.55 23.72 15.55 23.89 23.72 20.33 16.07 18.02 
#>    56  51.2 129.1  30.1 155.1    77   6.1   139     8   133   123  10.1   8.1 
#> 12.21 18.23 23.41 17.43 13.08  7.27 15.64 21.49 18.43 14.65 13.00 10.53 18.43 
#>    61    32   130  56.1   181   187  43.2  10.2  51.3   5.1 183.1    87   160 
#> 10.12 20.90 16.47 12.21 16.46  9.92 12.10 10.53 18.23 16.43  9.24 24.00 24.00 
#>   118    80    46    84    38    74    83   152 160.1   103   161    22   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176  38.1  46.1    33    12     9 103.1   172  33.1    95  95.1  38.2  22.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.2   141   131  12.1     2   151    20    65   142   121    48    62   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.1   135  83.1   191   112 196.1   193   162 118.1  46.2     3    17   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.2 152.1    44  62.1   122  87.1   165   116   146   144   120   174     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1 144.1    19   147  22.2    82    35   126  22.3 142.1  84.1    67  67.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.2    27   119  65.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[55]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0000171327              0.7427343338              0.4507561034 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.8843129               0.0167637              -0.2255385 
#>   grade_iii, Cure model 
#>               1.0775018 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 59    10.16      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 23    16.92      1  61        0         0
#> 170   19.54      1  43        0         1
#> 190   20.81      1  42        1         0
#> 159   10.55      1  50        0         1
#> 32    20.90      1  37        1         0
#> 195   11.76      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 199   19.81      1  NA        0         1
#> 85    16.44      1  36        0         0
#> 166   19.98      1  48        0         0
#> 76    19.22      1  54        0         1
#> 166.1 19.98      1  48        0         0
#> 155   13.08      1  26        0         0
#> 99    21.19      1  38        0         1
#> 60    13.15      1  38        1         0
#> 43    12.10      1  61        0         1
#> 68    20.62      1  44        0         0
#> 13    14.34      1  54        0         1
#> 106   16.67      1  49        1         0
#> 30    17.43      1  78        0         0
#> 90    20.94      1  50        0         1
#> 6     15.64      1  39        0         0
#> 6.1   15.64      1  39        0         0
#> 89    11.44      1  NA        0         0
#> 32.1  20.90      1  37        1         0
#> 10    10.53      1  34        0         0
#> 85.1  16.44      1  36        0         0
#> 195.1 11.76      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 89.1  11.44      1  NA        0         0
#> 56    12.21      1  60        0         0
#> 166.2 19.98      1  48        0         0
#> 52    10.42      1  52        0         1
#> 125   15.65      1  67        1         0
#> 4     17.64      1  NA        0         1
#> 93    10.33      1  52        0         1
#> 37    12.52      1  57        1         0
#> 110   17.56      1  65        0         1
#> 194   22.40      1  38        0         1
#> 105   19.75      1  60        0         0
#> 149    8.37      1  33        1         0
#> 79    16.23      1  54        1         0
#> 89.2  11.44      1  NA        0         0
#> 124    9.73      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 42    12.43      1  49        0         1
#> 169   22.41      1  46        0         0
#> 89.3  11.44      1  NA        0         0
#> 133   14.65      1  57        0         0
#> 25     6.32      1  34        1         0
#> 150   20.33      1  48        0         0
#> 164   23.60      1  76        0         1
#> 93.1  10.33      1  52        0         1
#> 189   10.51      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 170.1 19.54      1  43        0         1
#> 51    18.23      1  83        0         1
#> 100   16.07      1  60        0         0
#> 88    18.37      1  47        0         0
#> 49    12.19      1  48        1         0
#> 128   20.35      1  35        0         1
#> 168   23.72      1  70        0         0
#> 194.1 22.40      1  38        0         1
#> 130.1 16.47      1  53        0         1
#> 15    22.68      1  48        0         0
#> 60.1  13.15      1  38        1         0
#> 32.2  20.90      1  37        1         0
#> 100.1 16.07      1  60        0         0
#> 124.1  9.73      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 8     18.43      1  32        0         0
#> 88.1  18.37      1  47        0         0
#> 10.1  10.53      1  34        0         0
#> 168.1 23.72      1  70        0         0
#> 45    17.42      1  54        0         1
#> 60.2  13.15      1  38        1         0
#> 128.1 20.35      1  35        0         1
#> 130.2 16.47      1  53        0         1
#> 26    15.77      1  49        0         1
#> 157   15.10      1  47        0         0
#> 101    9.97      1  10        0         1
#> 106.1 16.67      1  49        1         0
#> 155.1 13.08      1  26        0         0
#> 51.1  18.23      1  83        0         1
#> 199.1 19.81      1  NA        0         1
#> 106.2 16.67      1  49        1         0
#> 52.1  10.42      1  52        0         1
#> 105.1 19.75      1  60        0         0
#> 40    18.00      1  28        1         0
#> 99.1  21.19      1  38        0         1
#> 69    23.23      1  25        0         1
#> 128.2 20.35      1  35        0         1
#> 52.2  10.42      1  52        0         1
#> 70     7.38      1  30        1         0
#> 192   16.44      1  31        1         0
#> 89.4  11.44      1  NA        0         0
#> 92    22.92      1  47        0         1
#> 42.1  12.43      1  49        0         1
#> 195.2 11.76      1  NA        1         0
#> 194.2 22.40      1  38        0         1
#> 32.3  20.90      1  37        1         0
#> 99.2  21.19      1  38        0         1
#> 42.2  12.43      1  49        0         1
#> 66    22.13      1  53        0         0
#> 78.1  23.88      1  43        0         0
#> 24    23.89      1  38        0         0
#> 55.1  19.34      1  69        0         1
#> 168.2 23.72      1  70        0         0
#> 127    3.53      1  62        0         1
#> 113   22.86      1  34        0         0
#> 2     24.00      0   9        0         0
#> 31    24.00      0  36        0         1
#> 48    24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 138   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 67    24.00      0  25        0         0
#> 144   24.00      0  28        0         1
#> 198   24.00      0  66        0         1
#> 147   24.00      0  76        1         0
#> 46    24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 161   24.00      0  45        0         0
#> 7     24.00      0  37        1         0
#> 33    24.00      0  53        0         0
#> 7.1   24.00      0  37        1         0
#> 47    24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 2.1   24.00      0   9        0         0
#> 21    24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 109   24.00      0  48        0         0
#> 2.2   24.00      0   9        0         0
#> 200   24.00      0  64        0         0
#> 21.1  24.00      0  47        0         0
#> 46.1  24.00      0  71        0         0
#> 109.1 24.00      0  48        0         0
#> 178   24.00      0  52        1         0
#> 172   24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 72    24.00      0  40        0         1
#> 21.2  24.00      0  47        0         0
#> 142   24.00      0  53        0         0
#> 46.2  24.00      0  71        0         0
#> 185   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 176.1 24.00      0  43        0         1
#> 178.1 24.00      0  52        1         0
#> 186   24.00      0  45        1         0
#> 87    24.00      0  27        0         0
#> 126   24.00      0  48        0         0
#> 137   24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 98    24.00      0  34        1         0
#> 82.1  24.00      0  34        0         0
#> 178.2 24.00      0  52        1         0
#> 141   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 53    24.00      0  32        0         1
#> 122   24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 62.1  24.00      0  71        0         0
#> 109.2 24.00      0  48        0         0
#> 156   24.00      0  50        1         0
#> 186.1 24.00      0  45        1         0
#> 115   24.00      0  NA        1         0
#> 94    24.00      0  51        0         1
#> 185.1 24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 75.1  24.00      0  21        1         0
#> 160   24.00      0  31        1         0
#> 162.1 24.00      0  51        0         0
#> 161.1 24.00      0  45        0         0
#> 38    24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 73    24.00      0  NA        0         1
#> 172.1 24.00      0  41        0         0
#> 156.1 24.00      0  50        1         0
#> 198.1 24.00      0  66        0         1
#> 118   24.00      0  44        1         0
#> 7.2   24.00      0  37        1         0
#> 121   24.00      0  57        1         0
#> 182   24.00      0  35        0         0
#> 173   24.00      0  19        0         1
#> 147.1 24.00      0  76        1         0
#> 152   24.00      0  36        0         1
#> 109.3 24.00      0  48        0         0
#> 126.1 24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 3     24.00      0  31        1         0
#> 53.1  24.00      0  32        0         1
#> 48.1  24.00      0  31        1         0
#> 82.2  24.00      0  34        0         0
#> 160.1 24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.884         NA        NA      NA
#> 2 age, Cure model           0.0168        NA        NA      NA
#> 3 grade_ii, Cure model     -0.226         NA        NA      NA
#> 4 grade_iii, Cure model     1.08          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.0000171        NA        NA      NA
#> 2 grade_ii, Survival model  0.743            NA        NA      NA
#> 3 grade_iii, Survival model 0.451            NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.88431           0.01676          -0.22554           1.07750  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    253 
#> Residual Deviance: 237.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.8843129        0.0167637       -0.2255385        1.0775018 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0000171327     0.7427343338     0.4507561034 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.52369896 0.64404206 0.50437415 0.39508791 0.90675536 0.35379124
#>   [7] 0.29062605 0.70328483 0.45528565 0.55182970 0.45528565 0.83922261
#>  [13] 0.30443849 0.81636985 0.89936267 0.40552980 0.80843267 0.65301178
#>  [19] 0.62602943 0.34129968 0.76842211 0.76842211 0.35379124 0.91411382
#>  [25] 0.70328483 0.04129206 0.88443865 0.45528565 0.92877136 0.76039339
#>  [31] 0.95037986 0.85452766 0.61698648 0.23458486 0.48461752 0.97188067
#>  [37] 0.72783621 0.67841406 0.86213919 0.21809553 0.79242314 0.98603773
#>  [43] 0.44529022 0.13247424 0.95037986 0.80045075 0.50437415 0.58946327
#>  [49] 0.73601119 0.57072494 0.89193510 0.41597150 0.08038800 0.23458486
#>  [55] 0.67841406 0.20160582 0.81636985 0.35379124 0.73601119 0.52369896
#>  [61] 0.56127736 0.57072494 0.91411382 0.08038800 0.63507220 0.81636985
#>  [67] 0.41597150 0.67841406 0.75226997 0.78439546 0.96471614 0.65301178
#>  [73] 0.83922261 0.58946327 0.65301178 0.92877136 0.48461752 0.60786718
#>  [79] 0.30443849 0.15116348 0.41597150 0.92877136 0.97898742 0.70328483
#>  [85] 0.16862581 0.86213919 0.23458486 0.35379124 0.30443849 0.86213919
#>  [91] 0.27604894 0.04129206 0.01520039 0.52369896 0.08038800 0.99303288
#>  [97] 0.18511576 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    58    23   170   190   159    32   197    85   166    76 166.1   155    99 
#> 19.34 16.92 19.54 20.81 10.55 20.90 21.60 16.44 19.98 19.22 19.98 13.08 21.19 
#>    60    43    68    13   106    30    90     6   6.1  32.1    10  85.1    78 
#> 13.15 12.10 20.62 14.34 16.67 17.43 20.94 15.64 15.64 20.90 10.53 16.44 23.88 
#>    56 166.2    52   125    93    37   110   194   105   149    79   130    42 
#> 12.21 19.98 10.42 15.65 10.33 12.52 17.56 22.40 19.75  8.37 16.23 16.47 12.43 
#>   169   133    25   150   164  93.1    57 170.1    51   100    88    49   128 
#> 22.41 14.65  6.32 20.33 23.60 10.33 14.46 19.54 18.23 16.07 18.37 12.19 20.35 
#>   168 194.1 130.1    15  60.1  32.2 100.1    55     8  88.1  10.1 168.1    45 
#> 23.72 22.40 16.47 22.68 13.15 20.90 16.07 19.34 18.43 18.37 10.53 23.72 17.42 
#>  60.2 128.1 130.2    26   157   101 106.1 155.1  51.1 106.2  52.1 105.1    40 
#> 13.15 20.35 16.47 15.77 15.10  9.97 16.67 13.08 18.23 16.67 10.42 19.75 18.00 
#>  99.1    69 128.2  52.2    70   192    92  42.1 194.2  32.3  99.2  42.2    66 
#> 21.19 23.23 20.35 10.42  7.38 16.44 22.92 12.43 22.40 20.90 21.19 12.43 22.13 
#>  78.1    24  55.1 168.2   127   113     2    31    48   176   138    22    67 
#> 23.88 23.89 19.34 23.72  3.53 22.86 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144   198   147    46    95   161     7    33   7.1    47   196   2.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9    82   109   2.2   200  21.1  46.1 109.1   178   172    64    72  21.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142  46.2   185   162    62 176.1 178.1   186    87   126   137   131    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98  82.1 178.2   141    75    53   122    34  62.1 109.2   156 186.1    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1   143    84  75.1   160 162.1 161.1    38   112 172.1 156.1 198.1   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.2   121   182   173 147.1   152 109.3 126.1    83     3  53.1  48.1  82.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[56]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02111807                0.40463722               -0.01798901 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.387957181             0.008118501            -0.113999958 
#>   grade_iii, Cure model 
#>             0.787811309 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 100   16.07      1  60        0         0
#> 150   20.33      1  48        0         0
#> 101    9.97      1  10        0         1
#> 154   12.63      1  20        1         0
#> 45    17.42      1  54        0         1
#> 134   17.81      1  47        1         0
#> 134.1 17.81      1  47        1         0
#> 181   16.46      1  45        0         1
#> 125   15.65      1  67        1         0
#> 108   18.29      1  39        0         1
#> 26    15.77      1  49        0         1
#> 45.1  17.42      1  54        0         1
#> 157   15.10      1  47        0         0
#> 158   20.14      1  74        1         0
#> 101.1  9.97      1  10        0         1
#> 68    20.62      1  44        0         0
#> 45.2  17.42      1  54        0         1
#> 170   19.54      1  43        0         1
#> 25     6.32      1  34        1         0
#> 59    10.16      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 130   16.47      1  53        0         1
#> 188   16.16      1  46        0         1
#> 36    21.19      1  48        0         1
#> 10    10.53      1  34        0         0
#> 111   17.45      1  47        0         1
#> 66    22.13      1  53        0         0
#> 85    16.44      1  36        0         0
#> 55    19.34      1  69        0         1
#> 149    8.37      1  33        1         0
#> 5     16.43      1  51        0         1
#> 150.1 20.33      1  48        0         0
#> 169   22.41      1  46        0         0
#> 23    16.92      1  61        0         0
#> 70     7.38      1  30        1         0
#> 197   21.60      1  69        1         0
#> 39    15.59      1  37        0         1
#> 15    22.68      1  48        0         0
#> 180   14.82      1  37        0         0
#> 153   21.33      1  55        1         0
#> 30    17.43      1  78        0         0
#> 167   15.55      1  56        1         0
#> 195   11.76      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 197.1 21.60      1  69        1         0
#> 105   19.75      1  60        0         0
#> 154.1 12.63      1  20        1         0
#> 51    18.23      1  83        0         1
#> 14.1  12.89      1  21        0         0
#> 128   20.35      1  35        0         1
#> 106   16.67      1  49        1         0
#> 192   16.44      1  31        1         0
#> 97    19.14      1  65        0         1
#> 114   13.68      1  NA        0         0
#> 96    14.54      1  33        0         1
#> 184   17.77      1  38        0         0
#> 45.3  17.42      1  54        0         1
#> 150.2 20.33      1  48        0         0
#> 10.1  10.53      1  34        0         0
#> 189   10.51      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 158.1 20.14      1  74        1         0
#> 129   23.41      1  53        1         0
#> 10.2  10.53      1  34        0         0
#> 167.1 15.55      1  56        1         0
#> 167.2 15.55      1  56        1         0
#> 97.1  19.14      1  65        0         1
#> 51.1  18.23      1  83        0         1
#> 110   17.56      1  65        0         1
#> 32    20.90      1  37        1         0
#> 5.1   16.43      1  51        0         1
#> 105.1 19.75      1  60        0         0
#> 128.1 20.35      1  35        0         1
#> 169.1 22.41      1  46        0         0
#> 69    23.23      1  25        0         1
#> 139   21.49      1  63        1         0
#> 199   19.81      1  NA        0         1
#> 36.1  21.19      1  48        0         1
#> 10.3  10.53      1  34        0         0
#> 26.1  15.77      1  49        0         1
#> 52    10.42      1  52        0         1
#> 93    10.33      1  52        0         1
#> 50    10.02      1  NA        1         0
#> 81    14.06      1  34        0         0
#> 199.1 19.81      1  NA        0         1
#> 154.2 12.63      1  20        1         0
#> 177   12.53      1  75        0         0
#> 189.1 10.51      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 125.1 15.65      1  67        1         0
#> 70.1   7.38      1  30        1         0
#> 157.1 15.10      1  47        0         0
#> 70.2   7.38      1  30        1         0
#> 88    18.37      1  47        0         0
#> 99    21.19      1  38        0         1
#> 158.2 20.14      1  74        1         0
#> 194   22.40      1  38        0         1
#> 43    12.10      1  61        0         1
#> 188.1 16.16      1  46        0         1
#> 100.1 16.07      1  60        0         0
#> 167.3 15.55      1  56        1         0
#> 29    15.45      1  68        1         0
#> 30.1  17.43      1  78        0         0
#> 123   13.00      1  44        1         0
#> 190   20.81      1  42        1         0
#> 70.3   7.38      1  30        1         0
#> 164   23.60      1  76        0         1
#> 113   22.86      1  34        0         0
#> 145   10.07      1  65        1         0
#> 123.1 13.00      1  44        1         0
#> 101.2  9.97      1  10        0         1
#> 97.2  19.14      1  65        0         1
#> 116   24.00      0  58        0         1
#> 186   24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 75    24.00      0  21        1         0
#> 103   24.00      0  56        1         0
#> 17    24.00      0  38        0         1
#> 132   24.00      0  55        0         0
#> 67    24.00      0  25        0         0
#> 31    24.00      0  36        0         1
#> 141   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 148   24.00      0  61        1         0
#> 64    24.00      0  43        0         0
#> 144   24.00      0  28        0         1
#> 38    24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 138   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 176   24.00      0  43        0         1
#> 186.1 24.00      0  45        1         0
#> 174.1 24.00      0  49        1         0
#> 3     24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 185   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 44    24.00      0  56        0         0
#> 87    24.00      0  27        0         0
#> 163   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 34    24.00      0  36        0         0
#> 44.1  24.00      0  56        0         0
#> 191   24.00      0  60        0         1
#> 176.1 24.00      0  43        0         1
#> 80    24.00      0  41        0         0
#> 17.1  24.00      0  38        0         1
#> 137   24.00      0  45        1         0
#> 83    24.00      0   6        0         0
#> 33    24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 19    24.00      0  57        0         1
#> 118   24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 33.1  24.00      0  53        0         0
#> 47    24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 53    24.00      0  32        0         1
#> 156   24.00      0  50        1         0
#> 185.1 24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 141.1 24.00      0  44        1         0
#> 116.1 24.00      0  58        0         1
#> 174.2 24.00      0  49        1         0
#> 142.1 24.00      0  53        0         0
#> 73.1  24.00      0  NA        0         1
#> 141.2 24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 46    24.00      0  71        0         0
#> 54    24.00      0  53        1         0
#> 104   24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 160   24.00      0  31        1         0
#> 80.1  24.00      0  41        0         0
#> 21    24.00      0  47        0         0
#> 148.1 24.00      0  61        1         0
#> 118.1 24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 65    24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 191.1 24.00      0  60        0         1
#> 98.1  24.00      0  34        1         0
#> 161.1 24.00      0  45        0         0
#> 119   24.00      0  17        0         0
#> 28    24.00      0  67        1         0
#> 116.2 24.00      0  58        0         1
#> 53.1  24.00      0  32        0         1
#> 137.1 24.00      0  45        1         0
#> 147   24.00      0  76        1         0
#> 163.1 24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 173.1 24.00      0  19        0         1
#> 48    24.00      0  31        1         0
#> 104.1 24.00      0  50        1         0
#> 20    24.00      0  46        1         0
#> 109   24.00      0  48        0         0
#> 148.2 24.00      0  61        1         0
#> 142.2 24.00      0  53        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.388          NA        NA      NA
#> 2 age, Cure model          0.00812        NA        NA      NA
#> 3 grade_ii, Cure model    -0.114          NA        NA      NA
#> 4 grade_iii, Cure model    0.788          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0211        NA        NA      NA
#> 2 grade_ii, Survival model    0.405         NA        NA      NA
#> 3 grade_iii, Survival model  -0.0180        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.387957          0.008119         -0.114000          0.787811  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 253.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.387957181      0.008118501     -0.113999958      0.787811309 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02111807       0.40463722      -0.01798901 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 2.596760e-01 2.103033e-02 8.121562e-01 5.687065e-01 1.286430e-01
#>   [6] 8.376644e-02 8.376644e-02 1.873622e-01 3.081179e-01 6.799527e-02
#>  [11] 2.832230e-01 1.286430e-01 4.193673e-01 2.800206e-02 8.121562e-01
#>  [16] 1.509911e-02 1.286430e-01 4.302848e-02 9.783362e-01 2.633253e-03
#>  [21] 1.779676e-01 2.375694e-01 7.477103e-03 6.750687e-01 1.077464e-01
#>  [26] 2.000758e-03 1.970583e-01 4.664844e-02 8.738122e-01 2.166842e-01
#>  [31] 2.103033e-02 7.377088e-04 1.600513e-01 8.949968e-01 3.373522e-03
#>  [36] 3.343615e-01 4.599381e-04 4.505883e-01 6.254330e-03 1.144079e-01
#>  [41] 3.480532e-01 5.339921e-01 3.373522e-03 3.641453e-02 5.687065e-01
#>  [46] 7.297196e-02 5.339921e-01 1.699569e-02 1.688984e-01 1.970583e-01
#>  [51] 5.049889e-02 4.667889e-01 9.521809e-02 1.286430e-01 2.103033e-02
#>  [56] 6.750687e-01 6.380796e-01 2.800206e-02 2.751458e-05 6.750687e-01
#>  [61] 3.480532e-01 3.480532e-01 5.049889e-02 7.297196e-02 1.013369e-01
#>  [66] 1.165912e-02 2.166842e-01 3.641453e-02 1.699569e-02 7.377088e-04
#>  [71] 1.180342e-04 5.146800e-03 7.477103e-03 6.750687e-01 2.832230e-01
#>  [76] 7.508896e-01 7.709625e-01 4.832818e-01 5.687065e-01 6.200595e-01
#>  [81] 3.081179e-01 8.949968e-01 4.193673e-01 8.949968e-01 6.321760e-02
#>  [86] 7.477103e-03 2.800206e-02 1.479593e-03 6.563842e-01 2.375694e-01
#>  [91] 2.596760e-01 3.480532e-01 4.041807e-01 1.144079e-01 5.000682e-01
#>  [96] 1.333660e-02 8.949968e-01 1.731904e-07 2.600494e-04 7.913932e-01
#> [101] 5.000682e-01 8.121562e-01 5.049889e-02 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   100   150   101   154    45   134 134.1   181   125   108    26  45.1   157 
#> 16.07 20.33  9.97 12.63 17.42 17.81 17.81 16.46 15.65 18.29 15.77 17.42 15.10 
#>   158 101.1    68  45.2   170    25   136   130   188    36    10   111    66 
#> 20.14  9.97 20.62 17.42 19.54  6.32 21.83 16.47 16.16 21.19 10.53 17.45 22.13 
#>    85    55   149     5 150.1   169    23    70   197    39    15   180   153 
#> 16.44 19.34  8.37 16.43 20.33 22.41 16.92  7.38 21.60 15.59 22.68 14.82 21.33 
#>    30   167    14 197.1   105 154.1    51  14.1   128   106   192    97    96 
#> 17.43 15.55 12.89 21.60 19.75 12.63 18.23 12.89 20.35 16.67 16.44 19.14 14.54 
#>   184  45.3 150.2  10.1    37 158.1   129  10.2 167.1 167.2  97.1  51.1   110 
#> 17.77 17.42 20.33 10.53 12.52 20.14 23.41 10.53 15.55 15.55 19.14 18.23 17.56 
#>    32   5.1 105.1 128.1 169.1    69   139  36.1  10.3  26.1    52    93    81 
#> 20.90 16.43 19.75 20.35 22.41 23.23 21.49 21.19 10.53 15.77 10.42 10.33 14.06 
#> 154.2   177 125.1  70.1 157.1  70.2    88    99 158.2   194    43 188.1 100.1 
#> 12.63 12.53 15.65  7.38 15.10  7.38 18.37 21.19 20.14 22.40 12.10 16.16 16.07 
#> 167.3    29  30.1   123   190  70.3   164   113   145 123.1 101.2  97.2   116 
#> 15.55 15.45 17.43 13.00 20.81  7.38 23.60 22.86 10.07 13.00  9.97 19.14 24.00 
#>   186   151    75   103    17   132    67    31   141   173   148    64   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   193   138   174   176 186.1 174.1     3    98   185    44    87   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161    34  44.1   191 176.1    80  17.1   137    83    33    62    19   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143   121  33.1    47     7    53   156 185.1   142 141.1 116.1 174.2 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.2   122   200    46    54   104   146   160  80.1    21 148.1 118.1  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65   135 191.1  98.1 161.1   119    28 116.2  53.1 137.1   147 163.1   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.1    48 104.1    20   109 148.2 142.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[57]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006214551               0.687906361               0.598593636 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.91308383              0.01366738              0.40583122 
#>   grade_iii, Cure model 
#>              1.29467513 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 60    13.15      1  38        1         0
#> 96    14.54      1  33        0         1
#> 79    16.23      1  54        1         0
#> 61    10.12      1  36        0         1
#> 41    18.02      1  40        1         0
#> 153   21.33      1  55        1         0
#> 177   12.53      1  75        0         0
#> 56    12.21      1  60        0         0
#> 97    19.14      1  65        0         1
#> 158   20.14      1  74        1         0
#> 60.1  13.15      1  38        1         0
#> 55    19.34      1  69        0         1
#> 145   10.07      1  65        1         0
#> 181   16.46      1  45        0         1
#> 91     5.33      1  61        0         1
#> 134   17.81      1  47        1         0
#> 36    21.19      1  48        0         1
#> 37    12.52      1  57        1         0
#> 167   15.55      1  56        1         0
#> 108   18.29      1  39        0         1
#> 69    23.23      1  25        0         1
#> 159   10.55      1  50        0         1
#> 113   22.86      1  34        0         0
#> 113.1 22.86      1  34        0         0
#> 18    15.21      1  49        1         0
#> 155   13.08      1  26        0         0
#> 15    22.68      1  48        0         0
#> 179   18.63      1  42        0         0
#> 125   15.65      1  67        1         0
#> 107   11.18      1  54        1         0
#> 18.1  15.21      1  49        1         0
#> 169   22.41      1  46        0         0
#> 133   14.65      1  57        0         0
#> 10    10.53      1  34        0         0
#> 24    23.89      1  38        0         0
#> 136   21.83      1  43        0         1
#> 128   20.35      1  35        0         1
#> 111   17.45      1  47        0         1
#> 199   19.81      1  NA        0         1
#> 43    12.10      1  61        0         1
#> 25     6.32      1  34        1         0
#> 76    19.22      1  54        0         1
#> 18.2  15.21      1  49        1         0
#> 37.1  12.52      1  57        1         0
#> 56.1  12.21      1  60        0         0
#> 61.1  10.12      1  36        0         1
#> 130   16.47      1  53        0         1
#> 93    10.33      1  52        0         1
#> 123   13.00      1  44        1         0
#> 129   23.41      1  53        1         0
#> 79.1  16.23      1  54        1         0
#> 63    22.77      1  31        1         0
#> 136.1 21.83      1  43        0         1
#> 108.1 18.29      1  39        0         1
#> 40    18.00      1  28        1         0
#> 169.1 22.41      1  46        0         0
#> 188   16.16      1  46        0         1
#> 18.3  15.21      1  49        1         0
#> 76.1  19.22      1  54        0         1
#> 5     16.43      1  51        0         1
#> 145.1 10.07      1  65        1         0
#> 129.1 23.41      1  53        1         0
#> 168   23.72      1  70        0         0
#> 153.1 21.33      1  55        1         0
#> 166   19.98      1  48        0         0
#> 154   12.63      1  20        1         0
#> 108.2 18.29      1  39        0         1
#> 184   17.77      1  38        0         0
#> 111.1 17.45      1  47        0         1
#> 111.2 17.45      1  47        0         1
#> 63.1  22.77      1  31        1         0
#> 106   16.67      1  49        1         0
#> 96.1  14.54      1  33        0         1
#> 139   21.49      1  63        1         0
#> 16     8.71      1  71        0         1
#> 192   16.44      1  31        1         0
#> 188.1 16.16      1  46        0         1
#> 85    16.44      1  36        0         0
#> 114   13.68      1  NA        0         0
#> 51    18.23      1  83        0         1
#> 105   19.75      1  60        0         0
#> 45    17.42      1  54        0         1
#> 43.1  12.10      1  61        0         1
#> 58    19.34      1  39        0         0
#> 170   19.54      1  43        0         1
#> 123.1 13.00      1  44        1         0
#> 169.2 22.41      1  46        0         0
#> 55.1  19.34      1  69        0         1
#> 45.1  17.42      1  54        0         1
#> 93.1  10.33      1  52        0         1
#> 100   16.07      1  60        0         0
#> 30    17.43      1  78        0         0
#> 4     17.64      1  NA        0         1
#> 14    12.89      1  21        0         0
#> 37.2  12.52      1  57        1         0
#> 92    22.92      1  47        0         1
#> 110   17.56      1  65        0         1
#> 37.3  12.52      1  57        1         0
#> 49    12.19      1  48        1         0
#> 168.1 23.72      1  70        0         0
#> 117   17.46      1  26        0         1
#> 26    15.77      1  49        0         1
#> 69.1  23.23      1  25        0         1
#> 26.1  15.77      1  49        0         1
#> 149    8.37      1  33        1         0
#> 117.1 17.46      1  26        0         1
#> 199.1 19.81      1  NA        0         1
#> 108.3 18.29      1  39        0         1
#> 78    23.88      1  43        0         0
#> 155.1 13.08      1  26        0         0
#> 157   15.10      1  47        0         0
#> 32    20.90      1  37        1         0
#> 160   24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 162   24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 191   24.00      0  60        0         1
#> 115   24.00      0  NA        1         0
#> 200   24.00      0  64        0         0
#> 71    24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 71.1  24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 141   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 147.1 24.00      0  76        1         0
#> 12.1  24.00      0  63        0         0
#> 138   24.00      0  44        1         0
#> 147.2 24.00      0  76        1         0
#> 67    24.00      0  25        0         0
#> 178   24.00      0  52        1         0
#> 141.1 24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 7     24.00      0  37        1         0
#> 122   24.00      0  66        0         0
#> 131   24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 102   24.00      0  49        0         0
#> 71.2  24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 120   24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 48    24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 22    24.00      0  52        1         0
#> 122.1 24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 83.1  24.00      0   6        0         0
#> 142   24.00      0  53        0         0
#> 7.1   24.00      0  37        1         0
#> 17    24.00      0  38        0         1
#> 118   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 152   24.00      0  36        0         1
#> 143   24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 80.1  24.00      0  41        0         0
#> 19    24.00      0  57        0         1
#> 161   24.00      0  45        0         0
#> 65    24.00      0  57        1         0
#> 31    24.00      0  36        0         1
#> 144.1 24.00      0  28        0         1
#> 73.1  24.00      0  NA        0         1
#> 38    24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 151   24.00      0  42        0         0
#> 31.1  24.00      0  36        0         1
#> 72    24.00      0  40        0         1
#> 46    24.00      0  71        0         0
#> 46.1  24.00      0  71        0         0
#> 31.2  24.00      0  36        0         1
#> 38.1  24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 119   24.00      0  17        0         0
#> 151.1 24.00      0  42        0         0
#> 48.1  24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 47    24.00      0  38        0         1
#> 115.1 24.00      0  NA        1         0
#> 11    24.00      0  42        0         1
#> 178.1 24.00      0  52        1         0
#> 151.2 24.00      0  42        0         0
#> 148   24.00      0  61        1         0
#> 118.1 24.00      0  44        1         0
#> 143.1 24.00      0  51        0         0
#> 143.2 24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 120.1 24.00      0  68        0         1
#> 2.1   24.00      0   9        0         0
#> 141.2 24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 75    24.00      0  21        1         0
#> 146   24.00      0  63        1         0
#> 143.3 24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 174   24.00      0  49        1         0
#> 21    24.00      0  47        0         0
#> 17.1  24.00      0  38        0         1
#> 67.1  24.00      0  25        0         0
#> 1     24.00      0  23        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.913         NA        NA      NA
#> 2 age, Cure model           0.0137        NA        NA      NA
#> 3 grade_ii, Cure model      0.406         NA        NA      NA
#> 4 grade_iii, Cure model     1.29          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00621        NA        NA      NA
#> 2 grade_ii, Survival model   0.688          NA        NA      NA
#> 3 grade_iii, Survival model  0.599          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.91308           0.01367           0.40583           1.29468  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    263.2 
#> Residual Deviance: 249.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.91308383       0.01366738       0.40583122       1.29467513 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006214551      0.687906361      0.598593636 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.86068168 0.85073064 0.77086075 0.96660361 0.64858098 0.46301165
#>   [7] 0.89938414 0.92232017 0.59545262 0.51548767 0.86068168 0.55334031
#>  [13] 0.97512327 0.74723492 0.99591431 0.66293325 0.48463664 0.90414058
#>  [19] 0.81511606 0.61161480 0.25871997 0.94922683 0.31142650 0.31142650
#>  [25] 0.82042768 0.87046092 0.37199188 0.60354984 0.80974078 0.94481415
#>  [31] 0.82042768 0.38628425 0.84566720 0.95360931 0.04678365 0.42618758
#>  [37] 0.50548470 0.69710459 0.93593563 0.99180063 0.57898459 0.82042768
#>  [43] 0.90414058 0.92232017 0.96660361 0.74117271 0.95798705 0.88022093
#>  [49] 0.21638930 0.77086075 0.34358454 0.42618758 0.61161480 0.65581081
#>  [55] 0.38628425 0.78220558 0.82042768 0.57898459 0.76501332 0.97512327
#>  [61] 0.21638930 0.15200142 0.46301165 0.52508982 0.89461273 0.61161480
#>  [67] 0.66993057 0.69710459 0.69710459 0.34358454 0.73503371 0.85073064
#>  [73] 0.45105247 0.98349807 0.75322872 0.78220558 0.75322872 0.64122395
#>  [79] 0.53463134 0.72263187 0.93593563 0.55334031 0.54409653 0.88022093
#>  [85] 0.38628425 0.55334031 0.72263187 0.95798705 0.79332120 0.71623372
#>  [91] 0.88980922 0.90414058 0.29448846 0.67690847 0.90414058 0.93141451
#>  [97] 0.15200142 0.68376445 0.79888096 0.25871997 0.79888096 0.98766194
#> [103] 0.68376445 0.61161480 0.10304787 0.87046092 0.84059084 0.49522560
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    60    96    79    61    41   153   177    56    97   158  60.1    55   145 
#> 13.15 14.54 16.23 10.12 18.02 21.33 12.53 12.21 19.14 20.14 13.15 19.34 10.07 
#>   181    91   134    36    37   167   108    69   159   113 113.1    18   155 
#> 16.46  5.33 17.81 21.19 12.52 15.55 18.29 23.23 10.55 22.86 22.86 15.21 13.08 
#>    15   179   125   107  18.1   169   133    10    24   136   128   111    43 
#> 22.68 18.63 15.65 11.18 15.21 22.41 14.65 10.53 23.89 21.83 20.35 17.45 12.10 
#>    25    76  18.2  37.1  56.1  61.1   130    93   123   129  79.1    63 136.1 
#>  6.32 19.22 15.21 12.52 12.21 10.12 16.47 10.33 13.00 23.41 16.23 22.77 21.83 
#> 108.1    40 169.1   188  18.3  76.1     5 145.1 129.1   168 153.1   166   154 
#> 18.29 18.00 22.41 16.16 15.21 19.22 16.43 10.07 23.41 23.72 21.33 19.98 12.63 
#> 108.2   184 111.1 111.2  63.1   106  96.1   139    16   192 188.1    85    51 
#> 18.29 17.77 17.45 17.45 22.77 16.67 14.54 21.49  8.71 16.44 16.16 16.44 18.23 
#>   105    45  43.1    58   170 123.1 169.2  55.1  45.1  93.1   100    30    14 
#> 19.75 17.42 12.10 19.34 19.54 13.00 22.41 19.34 17.42 10.33 16.07 17.43 12.89 
#>  37.2    92   110  37.3    49 168.1   117    26  69.1  26.1   149 117.1 108.3 
#> 12.52 22.92 17.56 12.52 12.19 23.72 17.46 15.77 23.23 15.77  8.37 17.46 18.29 
#>    78 155.1   157    32   160   144   162    12   191   200    71   182  71.1 
#> 23.88 13.08 15.10 20.90 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   141   147 147.1  12.1   138 147.2    67   178 141.1    82     7   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131   102  71.2     2   120    83    48    28    22 122.1   103  83.1   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1    17   118    80   152   143   135  80.1    19   161    65    31 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   196   151  31.1    72    46  46.1  31.2  38.1   137   119 151.1  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44    47    11 178.1 151.2   148 118.1 143.1 143.2     3 120.1   2.1 141.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156    75   146 143.3    84   174    21  17.1  67.1     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[58]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01173775                0.25531894                0.74134982 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.77372545              0.01104172              0.55847132 
#>   grade_iii, Cure model 
#>              0.81537078 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 190   20.81      1  42        1         0
#> 166   19.98      1  48        0         0
#> 175   21.91      1  43        0         0
#> 76    19.22      1  54        0         1
#> 117   17.46      1  26        0         1
#> 199   19.81      1  NA        0         1
#> 155   13.08      1  26        0         0
#> 50    10.02      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 40    18.00      1  28        1         0
#> 177   12.53      1  75        0         0
#> 6     15.64      1  39        0         0
#> 50.1  10.02      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 167   15.55      1  56        1         0
#> 113   22.86      1  34        0         0
#> 63    22.77      1  31        1         0
#> 25     6.32      1  34        1         0
#> 30    17.43      1  78        0         0
#> 190.1 20.81      1  42        1         0
#> 105   19.75      1  60        0         0
#> 190.2 20.81      1  42        1         0
#> 140   12.68      1  59        1         0
#> 167.1 15.55      1  56        1         0
#> 51    18.23      1  83        0         1
#> 91     5.33      1  61        0         1
#> 183    9.24      1  67        1         0
#> 170   19.54      1  43        0         1
#> 78    23.88      1  43        0         0
#> 187    9.92      1  39        1         0
#> 153.1 21.33      1  55        1         0
#> 63.1  22.77      1  31        1         0
#> 190.3 20.81      1  42        1         0
#> 99    21.19      1  38        0         1
#> 127    3.53      1  62        0         1
#> 171   16.57      1  41        0         1
#> 39    15.59      1  37        0         1
#> 166.1 19.98      1  48        0         0
#> 169   22.41      1  46        0         0
#> 26    15.77      1  49        0         1
#> 101    9.97      1  10        0         1
#> 157   15.10      1  47        0         0
#> 129   23.41      1  53        1         0
#> 158   20.14      1  74        1         0
#> 134   17.81      1  47        1         0
#> 76.1  19.22      1  54        0         1
#> 85    16.44      1  36        0         0
#> 158.1 20.14      1  74        1         0
#> 93.1  10.33      1  52        0         1
#> 187.1  9.92      1  39        1         0
#> 108   18.29      1  39        0         1
#> 114   13.68      1  NA        0         0
#> 106   16.67      1  49        1         0
#> 197   21.60      1  69        1         0
#> 129.1 23.41      1  53        1         0
#> 96    14.54      1  33        0         1
#> 127.1  3.53      1  62        0         1
#> 43    12.10      1  61        0         1
#> 113.1 22.86      1  34        0         0
#> 23    16.92      1  61        0         0
#> 199.1 19.81      1  NA        0         1
#> 199.2 19.81      1  NA        0         1
#> 187.2  9.92      1  39        1         0
#> 167.2 15.55      1  56        1         0
#> 37    12.52      1  57        1         0
#> 36    21.19      1  48        0         1
#> 93.2  10.33      1  52        0         1
#> 169.1 22.41      1  46        0         0
#> 68    20.62      1  44        0         0
#> 61    10.12      1  36        0         1
#> 114.1 13.68      1  NA        0         0
#> 170.1 19.54      1  43        0         1
#> 179   18.63      1  42        0         0
#> 76.2  19.22      1  54        0         1
#> 79    16.23      1  54        1         0
#> 40.1  18.00      1  28        1         0
#> 155.1 13.08      1  26        0         0
#> 189   10.51      1  NA        1         0
#> 189.1 10.51      1  NA        1         0
#> 99.1  21.19      1  38        0         1
#> 14    12.89      1  21        0         0
#> 188   16.16      1  46        0         1
#> 16     8.71      1  71        0         1
#> 130   16.47      1  53        0         1
#> 63.2  22.77      1  31        1         0
#> 56    12.21      1  60        0         0
#> 25.1   6.32      1  34        1         0
#> 153.2 21.33      1  55        1         0
#> 123   13.00      1  44        1         0
#> 88    18.37      1  47        0         0
#> 43.1  12.10      1  61        0         1
#> 36.1  21.19      1  48        0         1
#> 24    23.89      1  38        0         0
#> 127.2  3.53      1  62        0         1
#> 128   20.35      1  35        0         1
#> 106.1 16.67      1  49        1         0
#> 106.2 16.67      1  49        1         0
#> 150   20.33      1  48        0         0
#> 36.2  21.19      1  48        0         1
#> 43.2  12.10      1  61        0         1
#> 10    10.53      1  34        0         0
#> 90    20.94      1  50        0         1
#> 157.1 15.10      1  47        0         0
#> 127.3  3.53      1  62        0         1
#> 171.1 16.57      1  41        0         1
#> 61.1  10.12      1  36        0         1
#> 168   23.72      1  70        0         0
#> 188.1 16.16      1  46        0         1
#> 99.2  21.19      1  38        0         1
#> 69    23.23      1  25        0         1
#> 117.1 17.46      1  26        0         1
#> 97    19.14      1  65        0         1
#> 33    24.00      0  53        0         0
#> 122   24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 17    24.00      0  38        0         1
#> 163   24.00      0  66        0         0
#> 83    24.00      0   6        0         0
#> 121   24.00      0  57        1         0
#> 198.1 24.00      0  66        0         1
#> 161   24.00      0  45        0         0
#> 80    24.00      0  41        0         0
#> 118.1 24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 75    24.00      0  21        1         0
#> 67    24.00      0  25        0         0
#> 196   24.00      0  19        0         0
#> 152.1 24.00      0  36        0         1
#> 196.1 24.00      0  19        0         0
#> 185   24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 84    24.00      0  39        0         1
#> 11    24.00      0  42        0         1
#> 161.1 24.00      0  45        0         0
#> 161.2 24.00      0  45        0         0
#> 146   24.00      0  63        1         0
#> 200   24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 198.2 24.00      0  66        0         1
#> 119   24.00      0  17        0         0
#> 98    24.00      0  34        1         0
#> 73    24.00      0  NA        0         1
#> 80.1  24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 193   24.00      0  45        0         1
#> 80.2  24.00      0  41        0         0
#> 7     24.00      0  37        1         0
#> 112   24.00      0  61        0         0
#> 19    24.00      0  57        0         1
#> 7.1   24.00      0  37        1         0
#> 174   24.00      0  49        1         0
#> 53    24.00      0  32        0         1
#> 31    24.00      0  36        0         1
#> 44    24.00      0  56        0         0
#> 137   24.00      0  45        1         0
#> 22    24.00      0  52        1         0
#> 102   24.00      0  49        0         0
#> 141   24.00      0  44        1         0
#> 11.1  24.00      0  42        0         1
#> 119.1 24.00      0  17        0         0
#> 28    24.00      0  67        1         0
#> 147   24.00      0  76        1         0
#> 48    24.00      0  31        1         0
#> 165.1 24.00      0  47        0         0
#> 35    24.00      0  51        0         0
#> 83.1  24.00      0   6        0         0
#> 12    24.00      0  63        0         0
#> 126   24.00      0  48        0         0
#> 116   24.00      0  58        0         1
#> 35.1  24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 104   24.00      0  50        1         0
#> 156   24.00      0  50        1         0
#> 72    24.00      0  40        0         1
#> 104.1 24.00      0  50        1         0
#> 2     24.00      0   9        0         0
#> 178   24.00      0  52        1         0
#> 182   24.00      0  35        0         0
#> 176.1 24.00      0  43        0         1
#> 95    24.00      0  68        0         1
#> 73.1  24.00      0  NA        0         1
#> 138   24.00      0  44        1         0
#> 200.1 24.00      0  64        0         0
#> 84.1  24.00      0  39        0         1
#> 87    24.00      0  27        0         0
#> 144   24.00      0  28        0         1
#> 1     24.00      0  23        1         0
#> 193.1 24.00      0  45        0         1
#> 163.1 24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 12.1  24.00      0  63        0         0
#> 141.1 24.00      0  44        1         0
#> 174.1 24.00      0  49        1         0
#> 176.2 24.00      0  43        0         1
#> 44.1  24.00      0  56        0         0
#> 74    24.00      0  43        0         1
#> 87.1  24.00      0  27        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.774         NA        NA      NA
#> 2 age, Cure model           0.0110        NA        NA      NA
#> 3 grade_ii, Cure model      0.558         NA        NA      NA
#> 4 grade_iii, Cure model     0.815         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0117        NA        NA      NA
#> 2 grade_ii, Survival model    0.255         NA        NA      NA
#> 3 grade_iii, Survival model   0.741         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.77373           0.01104           0.55847           0.81537  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.9 
#> Residual Deviance: 251.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.77372545       0.01104172       0.55847132       0.81537078 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01173775       0.25531894       0.74134982 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.58107656 0.65608072 0.44277252 0.69345761 0.76202502 0.87869073
#>   [7] 0.93138854 0.74442076 0.90134274 0.84132896 0.47539379 0.85095734
#>  [13] 0.31441015 0.35600324 0.97460273 0.77335170 0.58107656 0.67143880
#>  [19] 0.58107656 0.89685101 0.85095734 0.73844289 0.98214358 0.96693476
#>  [25] 0.67907249 0.14658159 0.95530719 0.47539379 0.35600324 0.58107656
#>  [31] 0.51549401 0.98587399 0.80073232 0.84617383 0.65608072 0.40886311
#>  [37] 0.83646784 0.95136539 0.86487930 0.23992527 0.64044573 0.75617933
#>  [43] 0.69345761 0.81637595 0.64044573 0.93138854 0.95530719 0.73223589
#>  [49] 0.78455419 0.45963274 0.23992527 0.87411255 0.98587399 0.91463558
#>  [55] 0.31441015 0.77897401 0.95530719 0.85095734 0.90580308 0.51549401
#>  [61] 0.93138854 0.40886311 0.61516322 0.94345363 0.67907249 0.71953226
#>  [67] 0.69345761 0.82151986 0.74442076 0.87869073 0.51549401 0.89232346
#>  [73] 0.82661802 0.97079773 0.81121493 0.35600324 0.91023028 0.97460273
#>  [79] 0.47539379 0.88778947 0.72590453 0.91463558 0.51549401 0.07727887
#>  [85] 0.98587399 0.62378543 0.78455419 0.78455419 0.63215711 0.51549401
#>  [91] 0.91463558 0.92719302 0.57173702 0.86487930 0.98587399 0.80073232
#>  [97] 0.94345363 0.19999116 0.82661802 0.51549401 0.29133099 0.76202502
#> [103] 0.71312382 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>   190   166   175    76   117   155    93    40   177     6   153   167   113 
#> 20.81 19.98 21.91 19.22 17.46 13.08 10.33 18.00 12.53 15.64 21.33 15.55 22.86 
#>    63    25    30 190.1   105 190.2   140 167.1    51    91   183   170    78 
#> 22.77  6.32 17.43 20.81 19.75 20.81 12.68 15.55 18.23  5.33  9.24 19.54 23.88 
#>   187 153.1  63.1 190.3    99   127   171    39 166.1   169    26   101   157 
#>  9.92 21.33 22.77 20.81 21.19  3.53 16.57 15.59 19.98 22.41 15.77  9.97 15.10 
#>   129   158   134  76.1    85 158.1  93.1 187.1   108   106   197 129.1    96 
#> 23.41 20.14 17.81 19.22 16.44 20.14 10.33  9.92 18.29 16.67 21.60 23.41 14.54 
#> 127.1    43 113.1    23 187.2 167.2    37    36  93.2 169.1    68    61 170.1 
#>  3.53 12.10 22.86 16.92  9.92 15.55 12.52 21.19 10.33 22.41 20.62 10.12 19.54 
#>   179  76.2    79  40.1 155.1  99.1    14   188    16   130  63.2    56  25.1 
#> 18.63 19.22 16.23 18.00 13.08 21.19 12.89 16.16  8.71 16.47 22.77 12.21  6.32 
#> 153.2   123    88  43.1  36.1    24 127.2   128 106.1 106.2   150  36.2  43.2 
#> 21.33 13.00 18.37 12.10 21.19 23.89  3.53 20.35 16.67 16.67 20.33 21.19 12.10 
#>    10    90 157.1 127.3 171.1  61.1   168 188.1  99.2    69 117.1    97    33 
#> 10.53 20.94 15.10  3.53 16.57 10.12 23.72 16.16 21.19 23.23 17.46 19.14 24.00 
#>   122   118   152   198    17   163    83   121 198.1   161    80 118.1   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75    67   196 152.1 196.1   185   176    84    11 161.1 161.2   146   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165 198.2   119    98  80.1   191   193  80.2     7   112    19   7.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53    31    44   137    22   102   141  11.1 119.1    28   147    48 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35  83.1    12   126   116  35.1    82   104   156    72 104.1     2   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182 176.1    95   138 200.1  84.1    87   144     1 193.1 163.1   148  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.1 174.1 176.2  44.1    74  87.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[59]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              2.522752e-05              9.179132e-01              3.198614e-01 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.432536951             0.003940632             0.387720822 
#>   grade_iii, Cure model 
#>             0.794423658 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 145   10.07      1  65        1         0
#> 195   11.76      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 188   16.16      1  46        0         1
#> 70     7.38      1  30        1         0
#> 197   21.60      1  69        1         0
#> 24    23.89      1  38        0         0
#> 181   16.46      1  45        0         1
#> 13    14.34      1  54        0         1
#> 85    16.44      1  36        0         0
#> 136   21.83      1  43        0         1
#> 157   15.10      1  47        0         0
#> 123   13.00      1  44        1         0
#> 149    8.37      1  33        1         0
#> 61    10.12      1  36        0         1
#> 183    9.24      1  67        1         0
#> 195.1 11.76      1  NA        1         0
#> 188.1 16.16      1  46        0         1
#> 60    13.15      1  38        1         0
#> 92    22.92      1  47        0         1
#> 99    21.19      1  38        0         1
#> 123.1 13.00      1  44        1         0
#> 55    19.34      1  69        0         1
#> 105   19.75      1  60        0         0
#> 69    23.23      1  25        0         1
#> 127    3.53      1  62        0         1
#> 179   18.63      1  42        0         0
#> 56    12.21      1  60        0         0
#> 125   15.65      1  67        1         0
#> 140   12.68      1  59        1         0
#> 128   20.35      1  35        0         1
#> 108   18.29      1  39        0         1
#> 55.1  19.34      1  69        0         1
#> 167   15.55      1  56        1         0
#> 154.1 12.63      1  20        1         0
#> 169   22.41      1  46        0         0
#> 181.1 16.46      1  45        0         1
#> 14    12.89      1  21        0         0
#> 91     5.33      1  61        0         1
#> 49    12.19      1  48        1         0
#> 179.1 18.63      1  42        0         0
#> 57    14.46      1  45        0         1
#> 58    19.34      1  39        0         0
#> 153   21.33      1  55        1         0
#> 195.2 11.76      1  NA        1         0
#> 99.1  21.19      1  38        0         1
#> 107   11.18      1  54        1         0
#> 181.2 16.46      1  45        0         1
#> 30    17.43      1  78        0         0
#> 96    14.54      1  33        0         1
#> 36    21.19      1  48        0         1
#> 76    19.22      1  54        0         1
#> 184   17.77      1  38        0         0
#> 42    12.43      1  49        0         1
#> 45    17.42      1  54        0         1
#> 60.1  13.15      1  38        1         0
#> 77     7.27      1  67        0         1
#> 195.3 11.76      1  NA        1         0
#> 140.1 12.68      1  59        1         0
#> 133   14.65      1  57        0         0
#> 149.1  8.37      1  33        1         0
#> 76.1  19.22      1  54        0         1
#> 139   21.49      1  63        1         0
#> 96.1  14.54      1  33        0         1
#> 66    22.13      1  53        0         0
#> 24.1  23.89      1  38        0         0
#> 169.1 22.41      1  46        0         0
#> 61.1  10.12      1  36        0         1
#> 5     16.43      1  51        0         1
#> 149.2  8.37      1  33        1         0
#> 180   14.82      1  37        0         0
#> 96.2  14.54      1  33        0         1
#> 51    18.23      1  83        0         1
#> 36.1  21.19      1  48        0         1
#> 199   19.81      1  NA        0         1
#> 5.1   16.43      1  51        0         1
#> 50    10.02      1  NA        1         0
#> 188.2 16.16      1  46        0         1
#> 59    10.16      1  NA        1         0
#> 123.2 13.00      1  44        1         0
#> 15    22.68      1  48        0         0
#> 42.1  12.43      1  49        0         1
#> 199.1 19.81      1  NA        0         1
#> 15.1  22.68      1  48        0         0
#> 63    22.77      1  31        1         0
#> 60.2  13.15      1  38        1         0
#> 86    23.81      1  58        0         1
#> 92.1  22.92      1  47        0         1
#> 89    11.44      1  NA        0         0
#> 167.1 15.55      1  56        1         0
#> 167.2 15.55      1  56        1         0
#> 85.1  16.44      1  36        0         0
#> 39    15.59      1  37        0         1
#> 63.1  22.77      1  31        1         0
#> 86.1  23.81      1  58        0         1
#> 39.1  15.59      1  37        0         1
#> 150   20.33      1  48        0         0
#> 153.1 21.33      1  55        1         0
#> 39.2  15.59      1  37        0         1
#> 81    14.06      1  34        0         0
#> 167.3 15.55      1  56        1         0
#> 25     6.32      1  34        1         0
#> 175   21.91      1  43        0         0
#> 36.2  21.19      1  48        0         1
#> 149.3  8.37      1  33        1         0
#> 60.3  13.15      1  38        1         0
#> 194   22.40      1  38        0         1
#> 16     8.71      1  71        0         1
#> 51.1  18.23      1  83        0         1
#> 177   12.53      1  75        0         0
#> 13.1  14.34      1  54        0         1
#> 39.3  15.59      1  37        0         1
#> 87    24.00      0  27        0         0
#> 135   24.00      0  58        1         0
#> 83    24.00      0   6        0         0
#> 122   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 146   24.00      0  63        1         0
#> 115   24.00      0  NA        1         0
#> 162   24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 98.1  24.00      0  34        1         0
#> 62    24.00      0  71        0         0
#> 191   24.00      0  60        0         1
#> 75.1  24.00      0  21        1         0
#> 193   24.00      0  45        0         1
#> 191.1 24.00      0  60        0         1
#> 120   24.00      0  68        0         1
#> 35    24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 95    24.00      0  68        0         1
#> 35.1  24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 22    24.00      0  52        1         0
#> 65    24.00      0  57        1         0
#> 146.1 24.00      0  63        1         0
#> 31    24.00      0  36        0         1
#> 54    24.00      0  53        1         0
#> 83.1  24.00      0   6        0         0
#> 64    24.00      0  43        0         0
#> 27    24.00      0  63        1         0
#> 193.1 24.00      0  45        0         1
#> 1     24.00      0  23        1         0
#> 95.1  24.00      0  68        0         1
#> 122.1 24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 120.1 24.00      0  68        0         1
#> 72    24.00      0  40        0         1
#> 2     24.00      0   9        0         0
#> 173   24.00      0  19        0         1
#> 143   24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 116   24.00      0  58        0         1
#> 160   24.00      0  31        1         0
#> 98.2  24.00      0  34        1         0
#> 137   24.00      0  45        1         0
#> 67    24.00      0  25        0         0
#> 151   24.00      0  42        0         0
#> 19    24.00      0  57        0         1
#> 119.1 24.00      0  17        0         0
#> 17    24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 151.1 24.00      0  42        0         0
#> 19.1  24.00      0  57        0         1
#> 152   24.00      0  36        0         1
#> 172   24.00      0  41        0         0
#> 165   24.00      0  47        0         0
#> 109   24.00      0  48        0         0
#> 146.2 24.00      0  63        1         0
#> 34    24.00      0  36        0         0
#> 163   24.00      0  66        0         0
#> 72.1  24.00      0  40        0         1
#> 3     24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 33    24.00      0  53        0         0
#> 185   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 191.2 24.00      0  60        0         1
#> 193.2 24.00      0  45        0         1
#> 137.1 24.00      0  45        1         0
#> 193.3 24.00      0  45        0         1
#> 163.1 24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 9     24.00      0  31        1         0
#> 115.1 24.00      0  NA        1         0
#> 67.1  24.00      0  25        0         0
#> 148.1 24.00      0  61        1         0
#> 95.2  24.00      0  68        0         1
#> 62.1  24.00      0  71        0         0
#> 19.2  24.00      0  57        0         1
#> 53    24.00      0  32        0         1
#> 48    24.00      0  31        1         0
#> 62.2  24.00      0  71        0         0
#> 71    24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 118   24.00      0  44        1         0
#> 193.4 24.00      0  45        0         1
#> 34.1  24.00      0  36        0         0
#> 35.2  24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.433          NA        NA      NA
#> 2 age, Cure model          0.00394        NA        NA      NA
#> 3 grade_ii, Cure model     0.388          NA        NA      NA
#> 4 grade_iii, Cure model    0.794          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.0000252        NA        NA      NA
#> 2 grade_ii, Survival model  0.918            NA        NA      NA
#> 3 grade_iii, Survival model 0.320            NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.432537          0.003941          0.387721          0.794424  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 255.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.432536951      0.003940632      0.387720822      0.794423658 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     2.522752e-05     9.179132e-01     3.198614e-01 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.92734499 0.86175896 0.61507299 0.97029352 0.30767950 0.02846475
#>   [7] 0.55229725 0.76871545 0.57916785 0.29440277 0.71419109 0.82041227
#>  [13] 0.94632156 0.91450784 0.93371916 0.61507299 0.79172877 0.13849321
#>  [19] 0.35285245 0.82041227 0.43001925 0.42012861 0.11767093 0.99410191
#>  [25] 0.47743671 0.89486738 0.64122581 0.84818114 0.40034635 0.49634461
#>  [31] 0.43001925 0.68317680 0.86175896 0.22705678 0.55229725 0.84119556
#>  [37] 0.98819053 0.90148594 0.47743671 0.76095954 0.43001925 0.33191935
#>  [43] 0.35285245 0.90803208 0.55229725 0.53367714 0.73783990 0.35285245
#>  [49] 0.45852812 0.52433653 0.88167905 0.54301742 0.79172877 0.97628658
#>  [55] 0.84818114 0.72995707 0.94632156 0.45852812 0.32014504 0.73783990
#>  [61] 0.26738799 0.02846475 0.22705678 0.91450784 0.59722257 0.94632156
#>  [67] 0.72207412 0.73783990 0.50582142 0.35285245 0.59722257 0.61507299
#>  [73] 0.82041227 0.20023406 0.88167905 0.20023406 0.17341239 0.79172877
#>  [79] 0.07730112 0.13849321 0.68317680 0.68317680 0.57916785 0.64988467
#>  [85] 0.17341239 0.07730112 0.64988467 0.41023761 0.33191935 0.64988467
#>  [91] 0.78403252 0.68317680 0.98226571 0.28089567 0.35285245 0.94632156
#>  [97] 0.79172877 0.25387954 0.94002837 0.50582142 0.87502220 0.76871545
#> [103] 0.64988467 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   145   154   188    70   197    24   181    13    85   136   157   123   149 
#> 10.07 12.63 16.16  7.38 21.60 23.89 16.46 14.34 16.44 21.83 15.10 13.00  8.37 
#>    61   183 188.1    60    92    99 123.1    55   105    69   127   179    56 
#> 10.12  9.24 16.16 13.15 22.92 21.19 13.00 19.34 19.75 23.23  3.53 18.63 12.21 
#>   125   140   128   108  55.1   167 154.1   169 181.1    14    91    49 179.1 
#> 15.65 12.68 20.35 18.29 19.34 15.55 12.63 22.41 16.46 12.89  5.33 12.19 18.63 
#>    57    58   153  99.1   107 181.2    30    96    36    76   184    42    45 
#> 14.46 19.34 21.33 21.19 11.18 16.46 17.43 14.54 21.19 19.22 17.77 12.43 17.42 
#>  60.1    77 140.1   133 149.1  76.1   139  96.1    66  24.1 169.1  61.1     5 
#> 13.15  7.27 12.68 14.65  8.37 19.22 21.49 14.54 22.13 23.89 22.41 10.12 16.43 
#> 149.2   180  96.2    51  36.1   5.1 188.2 123.2    15  42.1  15.1    63  60.2 
#>  8.37 14.82 14.54 18.23 21.19 16.43 16.16 13.00 22.68 12.43 22.68 22.77 13.15 
#>    86  92.1 167.1 167.2  85.1    39  63.1  86.1  39.1   150 153.1  39.2    81 
#> 23.81 22.92 15.55 15.55 16.44 15.59 22.77 23.81 15.59 20.33 21.33 15.59 14.06 
#> 167.3    25   175  36.2 149.3  60.3   194    16  51.1   177  13.1  39.3    87 
#> 15.55  6.32 21.91 21.19  8.37 13.15 22.40  8.71 18.23 12.53 14.34 15.59 24.00 
#>   135    83   122    98   146   162    75  98.1    62   191  75.1   193 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    35    47    95  35.1   156    22    65 146.1    31    54  83.1    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27 193.1     1  95.1 122.1   148 120.1    72     2   173   143   138   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116   160  98.2   137    67   151    19 119.1    17    74 151.1  19.1   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172   165   109 146.2    34   163  72.1     3    11    33   185     7 191.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.2 137.1 193.3 163.1   103     9  67.1 148.1  95.2  62.1  19.2    53    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.2    71   126   118 193.4  34.1  35.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[60]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003385132               0.742736916               0.211632692 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.488626714             0.003365689             0.523806608 
#>   grade_iii, Cure model 
#>             1.144799997 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 25     6.32      1  34        1         0
#> 81    14.06      1  34        0         0
#> 187    9.92      1  39        1         0
#> 66    22.13      1  53        0         0
#> 91     5.33      1  61        0         1
#> 183    9.24      1  67        1         0
#> 41    18.02      1  40        1         0
#> 18    15.21      1  49        1         0
#> 110   17.56      1  65        0         1
#> 43    12.10      1  61        0         1
#> 92    22.92      1  47        0         1
#> 101    9.97      1  10        0         1
#> 36    21.19      1  48        0         1
#> 166   19.98      1  48        0         0
#> 66.1  22.13      1  53        0         0
#> 136   21.83      1  43        0         1
#> 117   17.46      1  26        0         1
#> 158   20.14      1  74        1         0
#> 26    15.77      1  49        0         1
#> 110.1 17.56      1  65        0         1
#> 5     16.43      1  51        0         1
#> 194   22.40      1  38        0         1
#> 18.1  15.21      1  49        1         0
#> 181   16.46      1  45        0         1
#> 56    12.21      1  60        0         0
#> 125   15.65      1  67        1         0
#> 128   20.35      1  35        0         1
#> 106   16.67      1  49        1         0
#> 164   23.60      1  76        0         1
#> 124    9.73      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 10    10.53      1  34        0         0
#> 125.1 15.65      1  67        1         0
#> 97    19.14      1  65        0         1
#> 77     7.27      1  67        0         1
#> 168   23.72      1  70        0         0
#> 79    16.23      1  54        1         0
#> 88    18.37      1  47        0         0
#> 171   16.57      1  41        0         1
#> 50    10.02      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 26.1  15.77      1  49        0         1
#> 16     8.71      1  71        0         1
#> 180   14.82      1  37        0         0
#> 113   22.86      1  34        0         0
#> 108   18.29      1  39        0         1
#> 194.1 22.40      1  38        0         1
#> 140   12.68      1  59        1         0
#> 169   22.41      1  46        0         0
#> 101.1  9.97      1  10        0         1
#> 184   17.77      1  38        0         0
#> 128.1 20.35      1  35        0         1
#> 92.1  22.92      1  47        0         1
#> 99    21.19      1  38        0         1
#> 60    13.15      1  38        1         0
#> 92.2  22.92      1  47        0         1
#> 128.2 20.35      1  35        0         1
#> 39    15.59      1  37        0         1
#> 86    23.81      1  58        0         1
#> 183.1  9.24      1  67        1         0
#> 5.1   16.43      1  51        0         1
#> 10.1  10.53      1  34        0         0
#> 63    22.77      1  31        1         0
#> 187.1  9.92      1  39        1         0
#> 166.1 19.98      1  48        0         0
#> 63.1  22.77      1  31        1         0
#> 59    10.16      1  NA        1         0
#> 113.1 22.86      1  34        0         0
#> 157   15.10      1  47        0         0
#> 199   19.81      1  NA        0         1
#> 183.2  9.24      1  67        1         0
#> 123   13.00      1  44        1         0
#> 150   20.33      1  48        0         0
#> 107   11.18      1  54        1         0
#> 91.1   5.33      1  61        0         1
#> 16.1   8.71      1  71        0         1
#> 107.1 11.18      1  54        1         0
#> 133.1 14.65      1  57        0         0
#> 134   17.81      1  47        1         0
#> 52    10.42      1  52        0         1
#> 26.2  15.77      1  49        0         1
#> 101.2  9.97      1  10        0         1
#> 23    16.92      1  61        0         0
#> 85    16.44      1  36        0         0
#> 145   10.07      1  65        1         0
#> 128.3 20.35      1  35        0         1
#> 89    11.44      1  NA        0         0
#> 61    10.12      1  36        0         1
#> 76    19.22      1  54        0         1
#> 117.1 17.46      1  26        0         1
#> 37    12.52      1  57        1         0
#> 90    20.94      1  50        0         1
#> 123.1 13.00      1  44        1         0
#> 179   18.63      1  42        0         0
#> 68    20.62      1  44        0         0
#> 32    20.90      1  37        1         0
#> 24    23.89      1  38        0         0
#> 40    18.00      1  28        1         0
#> 199.1 19.81      1  NA        0         1
#> 42    12.43      1  49        0         1
#> 30    17.43      1  78        0         0
#> 192   16.44      1  31        1         0
#> 76.1  19.22      1  54        0         1
#> 197   21.60      1  69        1         0
#> 57    14.46      1  45        0         1
#> 192.1 16.44      1  31        1         0
#> 190   20.81      1  42        1         0
#> 166.2 19.98      1  48        0         0
#> 6     15.64      1  39        0         0
#> 123.2 13.00      1  44        1         0
#> 45    17.42      1  54        0         1
#> 66.2  22.13      1  53        0         0
#> 151   24.00      0  42        0         0
#> 191   24.00      0  60        0         1
#> 33    24.00      0  53        0         0
#> 44    24.00      0  56        0         0
#> 156   24.00      0  50        1         0
#> 80    24.00      0  41        0         0
#> 44.1  24.00      0  56        0         0
#> 120   24.00      0  68        0         1
#> 72    24.00      0  40        0         1
#> 84    24.00      0  39        0         1
#> 135   24.00      0  58        1         0
#> 48    24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 126   24.00      0  48        0         0
#> 87    24.00      0  27        0         0
#> 47    24.00      0  38        0         1
#> 87.1  24.00      0  27        0         0
#> 44.2  24.00      0  56        0         0
#> 54    24.00      0  53        1         0
#> 20    24.00      0  46        1         0
#> 94    24.00      0  51        0         1
#> 35    24.00      0  51        0         0
#> 84.1  24.00      0  39        0         1
#> 98    24.00      0  34        1         0
#> 87.2  24.00      0  27        0         0
#> 118   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 71    24.00      0  51        0         0
#> 72.1  24.00      0  40        0         1
#> 1     24.00      0  23        1         0
#> 146   24.00      0  63        1         0
#> 174   24.00      0  49        1         0
#> 151.1 24.00      0  42        0         0
#> 148   24.00      0  61        1         0
#> 196   24.00      0  19        0         0
#> 62    24.00      0  71        0         0
#> 80.1  24.00      0  41        0         0
#> 165   24.00      0  47        0         0
#> 109   24.00      0  48        0         0
#> 28    24.00      0  67        1         0
#> 185   24.00      0  44        1         0
#> 98.1  24.00      0  34        1         0
#> 21    24.00      0  47        0         0
#> 198   24.00      0  66        0         1
#> 119   24.00      0  17        0         0
#> 163.1 24.00      0  66        0         0
#> 131   24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 200   24.00      0  64        0         0
#> 87.3  24.00      0  27        0         0
#> 162   24.00      0  51        0         0
#> 173.1 24.00      0  19        0         1
#> 7     24.00      0  37        1         0
#> 54.1  24.00      0  53        1         0
#> 142   24.00      0  53        0         0
#> 67    24.00      0  25        0         0
#> 120.1 24.00      0  68        0         1
#> 146.1 24.00      0  63        1         0
#> 163.2 24.00      0  66        0         0
#> 80.2  24.00      0  41        0         0
#> 147   24.00      0  76        1         0
#> 47.1  24.00      0  38        0         1
#> 131.1 24.00      0  66        0         0
#> 11    24.00      0  42        0         1
#> 94.1  24.00      0  51        0         1
#> 162.1 24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 53    24.00      0  32        0         1
#> 103   24.00      0  56        1         0
#> 82    24.00      0  34        0         0
#> 82.1  24.00      0  34        0         0
#> 98.2  24.00      0  34        1         0
#> 11.1  24.00      0  42        0         1
#> 19    24.00      0  57        0         1
#> 83    24.00      0   6        0         0
#> 46    24.00      0  71        0         0
#> 135.1 24.00      0  58        1         0
#> 35.1  24.00      0  51        0         0
#> 47.2  24.00      0  38        0         1
#> 19.1  24.00      0  57        0         1
#> 141   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 172   24.00      0  41        0         0
#> 147.1 24.00      0  76        1         0
#> 138   24.00      0  44        1         0
#> 98.3  24.00      0  34        1         0
#> 118.1 24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.489          NA        NA      NA
#> 2 age, Cure model          0.00337        NA        NA      NA
#> 3 grade_ii, Cure model     0.524          NA        NA      NA
#> 4 grade_iii, Cure model    1.14           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00339        NA        NA      NA
#> 2 grade_ii, Survival model   0.743          NA        NA      NA
#> 3 grade_iii, Survival model  0.212          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.488627          0.003366          0.523807          1.144800  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 253.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.488626714      0.003365689      0.523806608      1.144799997 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003385132      0.742736916      0.211632692 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.98338224 0.81409530 0.93797704 0.28074907 0.98895343 0.94962514
#>   [7] 0.54838584 0.76681967 0.58292197 0.87170154 0.13377958 0.92025244
#>  [13] 0.34197869 0.46558928 0.28074907 0.31758481 0.59950077 0.45601887
#>  [19] 0.70965489 0.58292197 0.68711168 0.25494570 0.76681967 0.65645742
#>  [25] 0.86545823 0.73148775 0.40755561 0.64048894 0.11156367 0.75983974
#>  [31] 0.89005702 0.73148775 0.51181251 0.97776786 0.08637843 0.70219500
#>  [37] 0.53017031 0.64849381 0.79391700 0.70965489 0.96653594 0.78713881
#>  [43] 0.18139327 0.53930961 0.25494570 0.84658363 0.24111896 0.92025244
#>  [49] 0.57444166 0.40755561 0.13377958 0.34197869 0.82081698 0.13377958
#>  [55] 0.40755561 0.75275963 0.05915132 0.94962514 0.68711168 0.89005702
#>  [61] 0.21400459 0.93797704 0.46558928 0.21400459 0.18139327 0.78035283
#>  [67] 0.94962514 0.82746300 0.44609441 0.87792172 0.98895343 0.96653594
#>  [73] 0.87792172 0.79391700 0.56594414 0.90217216 0.70965489 0.92025244
#>  [79] 0.63233313 0.66437885 0.91427365 0.40755561 0.90823088 0.49341839
#>  [85] 0.59950077 0.85293036 0.36456065 0.82746300 0.52100376 0.39716100
#>  [91] 0.37586722 0.02455227 0.55725561 0.85920477 0.61592096 0.66437885
#>  [97] 0.49341839 0.33015412 0.80736684 0.66437885 0.38672253 0.46558928
#> [103] 0.74565275 0.82746300 0.62415313 0.28074907 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    25    81   187    66    91   183    41    18   110    43    92   101    36 
#>  6.32 14.06  9.92 22.13  5.33  9.24 18.02 15.21 17.56 12.10 22.92  9.97 21.19 
#>   166  66.1   136   117   158    26 110.1     5   194  18.1   181    56   125 
#> 19.98 22.13 21.83 17.46 20.14 15.77 17.56 16.43 22.40 15.21 16.46 12.21 15.65 
#>   128   106   164   167    10 125.1    97    77   168    79    88   171   133 
#> 20.35 16.67 23.60 15.55 10.53 15.65 19.14  7.27 23.72 16.23 18.37 16.57 14.65 
#>  26.1    16   180   113   108 194.1   140   169 101.1   184 128.1  92.1    99 
#> 15.77  8.71 14.82 22.86 18.29 22.40 12.68 22.41  9.97 17.77 20.35 22.92 21.19 
#>    60  92.2 128.2    39    86 183.1   5.1  10.1    63 187.1 166.1  63.1 113.1 
#> 13.15 22.92 20.35 15.59 23.81  9.24 16.43 10.53 22.77  9.92 19.98 22.77 22.86 
#>   157 183.2   123   150   107  91.1  16.1 107.1 133.1   134    52  26.2 101.2 
#> 15.10  9.24 13.00 20.33 11.18  5.33  8.71 11.18 14.65 17.81 10.42 15.77  9.97 
#>    23    85   145 128.3    61    76 117.1    37    90 123.1   179    68    32 
#> 16.92 16.44 10.07 20.35 10.12 19.22 17.46 12.52 20.94 13.00 18.63 20.62 20.90 
#>    24    40    42    30   192  76.1   197    57 192.1   190 166.2     6 123.2 
#> 23.89 18.00 12.43 17.43 16.44 19.22 21.60 14.46 16.44 20.81 19.98 15.64 13.00 
#>    45  66.2   151   191    33    44   156    80  44.1   120    72    84   135 
#> 17.42 22.13 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48   173   126    87    47  87.1  44.2    54    20    94    35  84.1    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.2   118   163    71  72.1     1   146   174 151.1   148   196    62  80.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165   109    28   185  98.1    21   198   119 163.1   131    12   200  87.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162 173.1     7  54.1   142    67 120.1 146.1 163.2  80.2   147  47.1 131.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11  94.1 162.1    53   103    82  82.1  98.2  11.1    19    83    46 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.1  47.2  19.1   141   172 147.1   138  98.3 118.1   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[61]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006496225               0.335036318               0.328927071 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.00006077              0.01860029              0.01686745 
#>   grade_iii, Cure model 
#>              0.67297590 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 124    9.73      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 149    8.37      1  33        1         0
#> 155   13.08      1  26        0         0
#> 96    14.54      1  33        0         1
#> 88    18.37      1  47        0         0
#> 24    23.89      1  38        0         0
#> 59    10.16      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 114   13.68      1  NA        0         0
#> 78    23.88      1  43        0         0
#> 100   16.07      1  60        0         0
#> 51    18.23      1  83        0         1
#> 23    16.92      1  61        0         0
#> 125   15.65      1  67        1         0
#> 69    23.23      1  25        0         1
#> 153   21.33      1  55        1         0
#> 79.1  16.23      1  54        1         0
#> 55    19.34      1  69        0         1
#> 66    22.13      1  53        0         0
#> 59.1  10.16      1  NA        1         0
#> 79.2  16.23      1  54        1         0
#> 52    10.42      1  52        0         1
#> 4     17.64      1  NA        0         1
#> 139   21.49      1  63        1         0
#> 117   17.46      1  26        0         1
#> 125.1 15.65      1  67        1         0
#> 36    21.19      1  48        0         1
#> 130   16.47      1  53        0         1
#> 153.1 21.33      1  55        1         0
#> 85    16.44      1  36        0         0
#> 52.1  10.42      1  52        0         1
#> 90    20.94      1  50        0         1
#> 189   10.51      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 154   12.63      1  20        1         0
#> 153.2 21.33      1  55        1         0
#> 167   15.55      1  56        1         0
#> 140   12.68      1  59        1         0
#> 97    19.14      1  65        0         1
#> 127    3.53      1  62        0         1
#> 29    15.45      1  68        1         0
#> 69.1  23.23      1  25        0         1
#> 69.2  23.23      1  25        0         1
#> 18    15.21      1  49        1         0
#> 59.2  10.16      1  NA        1         0
#> 189.1 10.51      1  NA        1         0
#> 97.1  19.14      1  65        0         1
#> 93    10.33      1  52        0         1
#> 10    10.53      1  34        0         0
#> 76    19.22      1  54        0         1
#> 63.1  22.77      1  31        1         0
#> 155.1 13.08      1  26        0         0
#> 81    14.06      1  34        0         0
#> 114.1 13.68      1  NA        0         0
#> 123   13.00      1  44        1         0
#> 40    18.00      1  28        1         0
#> 66.1  22.13      1  53        0         0
#> 78.1  23.88      1  43        0         0
#> 153.3 21.33      1  55        1         0
#> 16     8.71      1  71        0         1
#> 177   12.53      1  75        0         0
#> 187    9.92      1  39        1         0
#> 89    11.44      1  NA        0         0
#> 96.1  14.54      1  33        0         1
#> 190   20.81      1  42        1         0
#> 5     16.43      1  51        0         1
#> 197   21.60      1  69        1         0
#> 85.1  16.44      1  36        0         0
#> 149.1  8.37      1  33        1         0
#> 139.1 21.49      1  63        1         0
#> 181   16.46      1  45        0         1
#> 175   21.91      1  43        0         0
#> 134   17.81      1  47        1         0
#> 124.1  9.73      1  NA        1         0
#> 167.1 15.55      1  56        1         0
#> 127.1  3.53      1  62        0         1
#> 23.1  16.92      1  61        0         0
#> 8     18.43      1  32        0         0
#> 108   18.29      1  39        0         1
#> 97.2  19.14      1  65        0         1
#> 91     5.33      1  61        0         1
#> 14    12.89      1  21        0         0
#> 57    14.46      1  45        0         1
#> 99    21.19      1  38        0         1
#> 56    12.21      1  60        0         0
#> 96.2  14.54      1  33        0         1
#> 157   15.10      1  47        0         0
#> 153.4 21.33      1  55        1         0
#> 66.2  22.13      1  53        0         0
#> 169   22.41      1  46        0         0
#> 164   23.60      1  76        0         1
#> 171   16.57      1  41        0         1
#> 59.3  10.16      1  NA        1         0
#> 89.1  11.44      1  NA        0         0
#> 39    15.59      1  37        0         1
#> 66.3  22.13      1  53        0         0
#> 140.1 12.68      1  59        1         0
#> 97.3  19.14      1  65        0         1
#> 30    17.43      1  78        0         0
#> 89.2  11.44      1  NA        0         0
#> 114.2 13.68      1  NA        0         0
#> 177.1 12.53      1  75        0         0
#> 79.3  16.23      1  54        1         0
#> 89.3  11.44      1  NA        0         0
#> 199   19.81      1  NA        0         1
#> 76.1  19.22      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 189.2 10.51      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 183    9.24      1  67        1         0
#> 90.1  20.94      1  50        0         1
#> 54    24.00      0  53        1         0
#> 143   24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 98    24.00      0  34        1         0
#> 156   24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 198   24.00      0  66        0         1
#> 119   24.00      0  17        0         0
#> 64    24.00      0  43        0         0
#> 119.1 24.00      0  17        0         0
#> 94    24.00      0  51        0         1
#> 142   24.00      0  53        0         0
#> 47    24.00      0  38        0         1
#> 19    24.00      0  57        0         1
#> 7     24.00      0  37        1         0
#> 144   24.00      0  28        0         1
#> 9     24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 126   24.00      0  48        0         0
#> 120   24.00      0  68        0         1
#> 64.1  24.00      0  43        0         0
#> 151   24.00      0  42        0         0
#> 116.1 24.00      0  58        0         1
#> 2     24.00      0   9        0         0
#> 185   24.00      0  44        1         0
#> 120.1 24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 47.1  24.00      0  38        0         1
#> 186.1 24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 20    24.00      0  46        1         0
#> 132   24.00      0  55        0         0
#> 161   24.00      0  45        0         0
#> 162   24.00      0  51        0         0
#> 151.1 24.00      0  42        0         0
#> 71    24.00      0  51        0         0
#> 54.1  24.00      0  53        1         0
#> 162.1 24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 38    24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 182   24.00      0  35        0         0
#> 11    24.00      0  42        0         1
#> 28.1  24.00      0  67        1         0
#> 48    24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 143.1 24.00      0  51        0         0
#> 9.1   24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 135   24.00      0  58        1         0
#> 174.1 24.00      0  49        1         0
#> 146.1 24.00      0  63        1         0
#> 44    24.00      0  56        0         0
#> 116.2 24.00      0  58        0         1
#> 3     24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 119.2 24.00      0  17        0         0
#> 87    24.00      0  27        0         0
#> 28.2  24.00      0  67        1         0
#> 185.1 24.00      0  44        1         0
#> 20.1  24.00      0  46        1         0
#> 115   24.00      0  NA        1         0
#> 176.2 24.00      0  43        0         1
#> 75    24.00      0  21        1         0
#> 142.1 24.00      0  53        0         0
#> 21    24.00      0  47        0         0
#> 146.2 24.00      0  63        1         0
#> 21.1  24.00      0  47        0         0
#> 165   24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 72    24.00      0  40        0         1
#> 176.3 24.00      0  43        0         1
#> 178.1 24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 115.1 24.00      0  NA        1         0
#> 162.2 24.00      0  51        0         0
#> 98.1  24.00      0  34        1         0
#> 132.1 24.00      0  55        0         0
#> 165.1 24.00      0  47        0         0
#> 9.2   24.00      0  31        1         0
#> 174.2 24.00      0  49        1         0
#> 131   24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 102   24.00      0  49        0         0
#> 46    24.00      0  71        0         0
#> 75.1  24.00      0  21        1         0
#> 1     24.00      0  23        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.00          NA        NA      NA
#> 2 age, Cure model           0.0186        NA        NA      NA
#> 3 grade_ii, Cure model      0.0169        NA        NA      NA
#> 4 grade_iii, Cure model     0.673         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00650        NA        NA      NA
#> 2 grade_ii, Survival model   0.335          NA        NA      NA
#> 3 grade_iii, Survival model  0.329          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.00006           0.01860           0.01687           0.67298  
#> 
#> Degrees of Freedom: 177 Total (i.e. Null);  174 Residual
#> Null Deviance:	    246.4 
#> Residual Deviance: 239.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.00006077       0.01860029       0.01686745       0.67297590 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006496225      0.335036318      0.328927071 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.73245222 0.96966496 0.85969659 0.82593736 0.60049690 0.04241218
#>   [7] 0.18119454 0.09263698 0.76185692 0.61825351 0.66889833 0.76928230
#>  [13] 0.20477601 0.42002538 0.73245222 0.52692636 0.30753834 0.73245222
#>  [19] 0.93191759 0.39395351 0.65233697 0.76928230 0.47421904 0.69316605
#>  [25] 0.42002538 0.70904910 0.93191759 0.49583066 0.25757894 0.89954536
#>  [31] 0.42002538 0.79094993 0.88645321 0.55630012 0.98800125 0.80504704
#>  [37] 0.20477601 0.20477601 0.81205436 0.55630012 0.94460672 0.92546775
#>  [43] 0.53701359 0.25757894 0.85969659 0.85295065 0.87309699 0.63547016
#>  [49] 0.30753834 0.09263698 0.42002538 0.96346885 0.90608714 0.95093232
#>  [55] 0.82593736 0.51660696 0.72467535 0.37962951 0.70904910 0.96966496
#>  [61] 0.39395351 0.70114631 0.36463310 0.64395310 0.79094993 0.98800125
#>  [67] 0.66889833 0.59151985 0.60942630 0.55630012 0.98190343 0.87977881
#>  [73] 0.84619150 0.47421904 0.91900679 0.82593736 0.81900636 0.42002538
#>  [79] 0.30753834 0.29077852 0.15420873 0.68509656 0.78373912 0.30753834
#>  [85] 0.88645321 0.55630012 0.66065189 0.90608714 0.73245222 0.53701359
#>  [91] 0.62690987 0.95722440 0.49583066 0.00000000 0.00000000 0.00000000
#>  [97] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    79   149   155    96    88    24   129    78   100    51    23   125    69 
#> 16.23  8.37 13.08 14.54 18.37 23.89 23.41 23.88 16.07 18.23 16.92 15.65 23.23 
#>   153  79.1    55    66  79.2    52   139   117 125.1    36   130 153.1    85 
#> 21.33 16.23 19.34 22.13 16.23 10.42 21.49 17.46 15.65 21.19 16.47 21.33 16.44 
#>  52.1    90    63   154 153.2   167   140    97   127    29  69.1  69.2    18 
#> 10.42 20.94 22.77 12.63 21.33 15.55 12.68 19.14  3.53 15.45 23.23 23.23 15.21 
#>  97.1    93    10    76  63.1 155.1    81   123    40  66.1  78.1 153.3    16 
#> 19.14 10.33 10.53 19.22 22.77 13.08 14.06 13.00 18.00 22.13 23.88 21.33  8.71 
#>   177   187  96.1   190     5   197  85.1 149.1 139.1   181   175   134 167.1 
#> 12.53  9.92 14.54 20.81 16.43 21.60 16.44  8.37 21.49 16.46 21.91 17.81 15.55 
#> 127.1  23.1     8   108  97.2    91    14    57    99    56  96.2   157 153.4 
#>  3.53 16.92 18.43 18.29 19.14  5.33 12.89 14.46 21.19 12.21 14.54 15.10 21.33 
#>  66.2   169   164   171    39  66.3 140.1  97.3    30 177.1  79.3  76.1    41 
#> 22.13 22.41 23.60 16.57 15.59 22.13 12.68 19.14 17.43 12.53 16.23 19.22 18.02 
#>   183  90.1    54   143   186    98   156   178   198   119    64 119.1    94 
#>  9.24 20.94 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142    47    19     7   144     9   116   126   120  64.1   151 116.1     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185 120.1   176  47.1 186.1   118   146    20   132   161   162 151.1    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.1 162.1   174    38    28   182    11  28.1    48   148 143.1   9.1 176.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135 174.1 146.1    44 116.2     3    84 119.2    87  28.2 185.1  20.1 176.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75 142.1    21 146.2  21.1   165   121    72 176.3 178.1    53 162.2  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1 165.1   9.2 174.2   131   102    46  75.1     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[62]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                -0.0162257                 0.8975902                 0.4802673 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.195258849            -0.004371631            -0.406948855 
#>   grade_iii, Cure model 
#>             0.709023569 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 25     6.32      1  34        1         0
#> 108   18.29      1  39        0         1
#> 136   21.83      1  43        0         1
#> 25.1   6.32      1  34        1         0
#> 111   17.45      1  47        0         1
#> 26    15.77      1  49        0         1
#> 90    20.94      1  50        0         1
#> 114   13.68      1  NA        0         0
#> 8     18.43      1  32        0         0
#> 150   20.33      1  48        0         0
#> 113   22.86      1  34        0         0
#> 157   15.10      1  47        0         0
#> 128   20.35      1  35        0         1
#> 188   16.16      1  46        0         1
#> 26.1  15.77      1  49        0         1
#> 171   16.57      1  41        0         1
#> 199   19.81      1  NA        0         1
#> 59    10.16      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 149    8.37      1  33        1         0
#> 99    21.19      1  38        0         1
#> 164   23.60      1  76        0         1
#> 66.1  22.13      1  53        0         0
#> 24    23.89      1  38        0         0
#> 136.1 21.83      1  43        0         1
#> 99.1  21.19      1  38        0         1
#> 159   10.55      1  50        0         1
#> 110   17.56      1  65        0         1
#> 10    10.53      1  34        0         0
#> 101    9.97      1  10        0         1
#> 177   12.53      1  75        0         0
#> 63    22.77      1  31        1         0
#> 108.1 18.29      1  39        0         1
#> 153   21.33      1  55        1         0
#> 24.1  23.89      1  38        0         0
#> 36    21.19      1  48        0         1
#> 59.1  10.16      1  NA        1         0
#> 164.1 23.60      1  76        0         1
#> 45    17.42      1  54        0         1
#> 164.2 23.60      1  76        0         1
#> 166   19.98      1  48        0         0
#> 164.3 23.60      1  76        0         1
#> 107   11.18      1  54        1         0
#> 171.1 16.57      1  41        0         1
#> 58    19.34      1  39        0         0
#> 57    14.46      1  45        0         1
#> 128.1 20.35      1  35        0         1
#> 14    12.89      1  21        0         0
#> 145   10.07      1  65        1         0
#> 150.1 20.33      1  48        0         0
#> 10.1  10.53      1  34        0         0
#> 18    15.21      1  49        1         0
#> 130   16.47      1  53        0         1
#> 24.2  23.89      1  38        0         0
#> 123   13.00      1  44        1         0
#> 189   10.51      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 199.1 19.81      1  NA        0         1
#> 187    9.92      1  39        1         0
#> 76    19.22      1  54        0         1
#> 145.1 10.07      1  65        1         0
#> 136.2 21.83      1  43        0         1
#> 133   14.65      1  57        0         0
#> 16     8.71      1  71        0         1
#> 14.1  12.89      1  21        0         0
#> 154   12.63      1  20        1         0
#> 110.1 17.56      1  65        0         1
#> 93    10.33      1  52        0         1
#> 199.2 19.81      1  NA        0         1
#> 68    20.62      1  44        0         0
#> 108.2 18.29      1  39        0         1
#> 57.1  14.46      1  45        0         1
#> 136.3 21.83      1  43        0         1
#> 18.1  15.21      1  49        1         0
#> 129   23.41      1  53        1         0
#> 175   21.91      1  43        0         0
#> 114.1 13.68      1  NA        0         0
#> 61    10.12      1  36        0         1
#> 105   19.75      1  60        0         0
#> 110.2 17.56      1  65        0         1
#> 36.1  21.19      1  48        0         1
#> 66.2  22.13      1  53        0         0
#> 188.1 16.16      1  46        0         1
#> 66.3  22.13      1  53        0         0
#> 69    23.23      1  25        0         1
#> 101.1  9.97      1  10        0         1
#> 187.1  9.92      1  39        1         0
#> 52    10.42      1  52        0         1
#> 153.1 21.33      1  55        1         0
#> 189.1 10.51      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 179   18.63      1  42        0         0
#> 184   17.77      1  38        0         0
#> 57.2  14.46      1  45        0         1
#> 167   15.55      1  56        1         0
#> 187.2  9.92      1  39        1         0
#> 5     16.43      1  51        0         1
#> 114.2 13.68      1  NA        0         0
#> 81    14.06      1  34        0         0
#> 110.3 17.56      1  65        0         1
#> 100   16.07      1  60        0         0
#> 175.1 21.91      1  43        0         0
#> 181   16.46      1  45        0         1
#> 157.1 15.10      1  47        0         0
#> 125   15.65      1  67        1         0
#> 192   16.44      1  31        1         0
#> 150.2 20.33      1  48        0         0
#> 153.2 21.33      1  55        1         0
#> 181.1 16.46      1  45        0         1
#> 96    14.54      1  33        0         1
#> 5.1   16.43      1  51        0         1
#> 68.1  20.62      1  44        0         0
#> 137   24.00      0  45        1         0
#> 19    24.00      0  57        0         1
#> 161   24.00      0  45        0         0
#> 94    24.00      0  51        0         1
#> 196   24.00      0  19        0         0
#> 138   24.00      0  44        1         0
#> 19.1  24.00      0  57        0         1
#> 47    24.00      0  38        0         1
#> 17    24.00      0  38        0         1
#> 102   24.00      0  49        0         0
#> 71    24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 148   24.00      0  61        1         0
#> 102.1 24.00      0  49        0         0
#> 122   24.00      0  66        0         0
#> 122.1 24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 87    24.00      0  27        0         0
#> 27    24.00      0  63        1         0
#> 173   24.00      0  19        0         1
#> 62    24.00      0  71        0         0
#> 186   24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 143   24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 84    24.00      0  39        0         1
#> 186.1 24.00      0  45        1         0
#> 132   24.00      0  55        0         0
#> 104   24.00      0  50        1         0
#> 191   24.00      0  60        0         1
#> 144   24.00      0  28        0         1
#> 82    24.00      0  34        0         0
#> 2     24.00      0   9        0         0
#> 200   24.00      0  64        0         0
#> 191.1 24.00      0  60        0         1
#> 19.2  24.00      0  57        0         1
#> 2.1   24.00      0   9        0         0
#> 83    24.00      0   6        0         0
#> 62.1  24.00      0  71        0         0
#> 104.1 24.00      0  50        1         0
#> 104.2 24.00      0  50        1         0
#> 120   24.00      0  68        0         1
#> 146   24.00      0  63        1         0
#> 95    24.00      0  68        0         1
#> 132.1 24.00      0  55        0         0
#> 161.1 24.00      0  45        0         0
#> 20    24.00      0  46        1         0
#> 75.1  24.00      0  21        1         0
#> 178   24.00      0  52        1         0
#> 196.1 24.00      0  19        0         0
#> 27.1  24.00      0  63        1         0
#> 19.3  24.00      0  57        0         1
#> 72    24.00      0  40        0         1
#> 53    24.00      0  32        0         1
#> 75.2  24.00      0  21        1         0
#> 146.1 24.00      0  63        1         0
#> 22    24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 17.1  24.00      0  38        0         1
#> 121   24.00      0  57        1         0
#> 141   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 200.1 24.00      0  64        0         0
#> 186.2 24.00      0  45        1         0
#> 62.2  24.00      0  71        0         0
#> 11    24.00      0  42        0         1
#> 148.1 24.00      0  61        1         0
#> 11.1  24.00      0  42        0         1
#> 83.1  24.00      0   6        0         0
#> 62.3  24.00      0  71        0         0
#> 119   24.00      0  17        0         0
#> 126   24.00      0  48        0         0
#> 109   24.00      0  48        0         0
#> 116.1 24.00      0  58        0         1
#> 53.1  24.00      0  32        0         1
#> 148.2 24.00      0  61        1         0
#> 152   24.00      0  36        0         1
#> 9     24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 64    24.00      0  43        0         0
#> 112.1 24.00      0  61        0         0
#> 28.1  24.00      0  67        1         0
#> 174   24.00      0  49        1         0
#> 178.1 24.00      0  52        1         0
#> 35    24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 120.1 24.00      0  68        0         1
#> 185   24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.195          NA        NA      NA
#> 2 age, Cure model         -0.00437        NA        NA      NA
#> 3 grade_ii, Cure model    -0.407          NA        NA      NA
#> 4 grade_iii, Cure model    0.709          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0162        NA        NA      NA
#> 2 grade_ii, Survival model    0.898         NA        NA      NA
#> 3 grade_iii, Survival model   0.480         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.195259         -0.004372         -0.406949          0.709024  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262.4 
#> Residual Deviance: 252.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.195258849     -0.004371631     -0.406948855      0.709023569 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.0162257        0.8975902        0.4802673 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.974759782 0.283632565 0.081075909 0.974759782 0.375863101 0.523483936
#>   [7] 0.159532156 0.273638906 0.200223315 0.032590157 0.594783108 0.183794072
#>  [13] 0.488638860 0.523483936 0.398127816 0.043625914 0.961918601 0.130390034
#>  [19] 0.006987461 0.043625914 0.001095863 0.081075909 0.130390034 0.781426229
#>  [25] 0.333756469 0.794204953 0.885203029 0.743314410 0.038299072 0.283632565
#>  [31] 0.108833420 0.001095863 0.130390034 0.006987461 0.386943096 0.006987461
#>  [37] 0.226039836 0.006987461 0.768706128 0.398127816 0.244570647 0.643650718
#>  [43] 0.183794072 0.705647624 0.859093665 0.200223315 0.794204953 0.571135479
#>  [49] 0.420391599 0.001095863 0.693089070 0.312995658 0.911027297 0.254121372
#>  [55] 0.859093665 0.081075909 0.618943312 0.949002177 0.705647624 0.730797482
#>  [61] 0.333756469 0.832919500 0.167488009 0.283632565 0.643650718 0.081075909
#>  [67] 0.571135479 0.021886481 0.066851161 0.845996595 0.235191684 0.333756469
#>  [73] 0.130390034 0.043625914 0.488638860 0.043625914 0.027277152 0.885203029
#>  [79] 0.911027297 0.819904677 0.108833420 0.755981478 0.263790941 0.323299368
#>  [85] 0.643650718 0.559132520 0.911027297 0.465859765 0.680484480 0.333756469
#>  [91] 0.511668953 0.066851161 0.431771421 0.594783108 0.547132402 0.454492682
#>  [97] 0.200223315 0.108833420 0.431771421 0.631290522 0.465859765 0.167488009
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    25   108   136  25.1   111    26    90     8   150   113   157   128   188 
#>  6.32 18.29 21.83  6.32 17.45 15.77 20.94 18.43 20.33 22.86 15.10 20.35 16.16 
#>  26.1   171    66   149    99   164  66.1    24 136.1  99.1   159   110    10 
#> 15.77 16.57 22.13  8.37 21.19 23.60 22.13 23.89 21.83 21.19 10.55 17.56 10.53 
#>   101   177    63 108.1   153  24.1    36 164.1    45 164.2   166 164.3   107 
#>  9.97 12.53 22.77 18.29 21.33 23.89 21.19 23.60 17.42 23.60 19.98 23.60 11.18 
#> 171.1    58    57 128.1    14   145 150.1  10.1    18   130  24.2   123    51 
#> 16.57 19.34 14.46 20.35 12.89 10.07 20.33 10.53 15.21 16.47 23.89 13.00 18.23 
#>   187    76 145.1 136.2   133    16  14.1   154 110.1    93    68 108.2  57.1 
#>  9.92 19.22 10.07 21.83 14.65  8.71 12.89 12.63 17.56 10.33 20.62 18.29 14.46 
#> 136.3  18.1   129   175    61   105 110.2  36.1  66.2 188.1  66.3    69 101.1 
#> 21.83 15.21 23.41 21.91 10.12 19.75 17.56 21.19 22.13 16.16 22.13 23.23  9.97 
#> 187.1    52 153.1    42   179   184  57.2   167 187.2     5    81 110.3   100 
#>  9.92 10.42 21.33 12.43 18.63 17.77 14.46 15.55  9.92 16.43 14.06 17.56 16.07 
#> 175.1   181 157.1   125   192 150.2 153.2 181.1    96   5.1  68.1   137    19 
#> 21.91 16.46 15.10 15.65 16.44 20.33 21.33 16.46 14.54 16.43 20.62 24.00 24.00 
#>   161    94   196   138  19.1    47    17   102    71    28   148 102.1   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.1    75    87    27   173    62   186   112   143   116    84 186.1   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104   191   144    82     2   200 191.1  19.2   2.1    83  62.1 104.1 104.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120   146    95 132.1 161.1    20  75.1   178 196.1  27.1  19.3    72    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.2 146.1    22   193  17.1   121   141    65 200.1 186.2  62.2    11 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1  83.1  62.3   119   126   109 116.1  53.1 148.2   152     9    54    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1  28.1   174 178.1    35    98 120.1   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[63]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009103739               0.761502188               0.585140336 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.71148761              0.01263085             -0.11096987 
#>   grade_iii, Cure model 
#>              0.95058375 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 158   20.14      1  74        1         0
#> 41    18.02      1  40        1         0
#> 29    15.45      1  68        1         0
#> 78    23.88      1  43        0         0
#> 129   23.41      1  53        1         0
#> 61    10.12      1  36        0         1
#> 52    10.42      1  52        0         1
#> 107   11.18      1  54        1         0
#> 117   17.46      1  26        0         1
#> 113   22.86      1  34        0         0
#> 145   10.07      1  65        1         0
#> 6     15.64      1  39        0         0
#> 10    10.53      1  34        0         0
#> 158.1 20.14      1  74        1         0
#> 108   18.29      1  39        0         1
#> 100   16.07      1  60        0         0
#> 183    9.24      1  67        1         0
#> 25     6.32      1  34        1         0
#> 136   21.83      1  43        0         1
#> 188   16.16      1  46        0         1
#> 188.1 16.16      1  46        0         1
#> 128   20.35      1  35        0         1
#> 51    18.23      1  83        0         1
#> 70     7.38      1  30        1         0
#> 61.1  10.12      1  36        0         1
#> 91     5.33      1  61        0         1
#> 114   13.68      1  NA        0         0
#> 111   17.45      1  47        0         1
#> 127    3.53      1  62        0         1
#> 130   16.47      1  53        0         1
#> 8     18.43      1  32        0         0
#> 43    12.10      1  61        0         1
#> 183.1  9.24      1  67        1         0
#> 14    12.89      1  21        0         0
#> 155   13.08      1  26        0         0
#> 189   10.51      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 13    14.34      1  54        0         1
#> 77     7.27      1  67        0         1
#> 134   17.81      1  47        1         0
#> 127.1  3.53      1  62        0         1
#> 107.1 11.18      1  54        1         0
#> 194   22.40      1  38        0         1
#> 195   11.76      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 24    23.89      1  38        0         0
#> 189.1 10.51      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 49    12.19      1  48        1         0
#> 155.1 13.08      1  26        0         0
#> 85    16.44      1  36        0         0
#> 43.1  12.10      1  61        0         1
#> 6.1   15.64      1  39        0         0
#> 15    22.68      1  48        0         0
#> 108.1 18.29      1  39        0         1
#> 175   21.91      1  43        0         0
#> 101    9.97      1  10        0         1
#> 89    11.44      1  NA        0         0
#> 40    18.00      1  28        1         0
#> 23    16.92      1  61        0         0
#> 108.2 18.29      1  39        0         1
#> 14.1  12.89      1  21        0         0
#> 164   23.60      1  76        0         1
#> 127.2  3.53      1  62        0         1
#> 164.1 23.60      1  76        0         1
#> 13.1  14.34      1  54        0         1
#> 129.1 23.41      1  53        1         0
#> 92    22.92      1  47        0         1
#> 52.1  10.42      1  52        0         1
#> 133   14.65      1  57        0         0
#> 50    10.02      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 125   15.65      1  67        1         0
#> 29.1  15.45      1  68        1         0
#> 26    15.77      1  49        0         1
#> 136.1 21.83      1  43        0         1
#> 24.1  23.89      1  38        0         0
#> 97    19.14      1  65        0         1
#> 100.1 16.07      1  60        0         0
#> 105   19.75      1  60        0         0
#> 61.2  10.12      1  36        0         1
#> 78.1  23.88      1  43        0         0
#> 18.1  15.21      1  49        1         0
#> 57    14.46      1  45        0         1
#> 117.1 17.46      1  26        0         1
#> 177   12.53      1  75        0         0
#> 25.1   6.32      1  34        1         0
#> 55    19.34      1  69        0         1
#> 190   20.81      1  42        1         0
#> 93    10.33      1  52        0         1
#> 184   17.77      1  38        0         0
#> 154   12.63      1  20        1         0
#> 50.1  10.02      1  NA        1         0
#> 43.2  12.10      1  61        0         1
#> 57.1  14.46      1  45        0         1
#> 60    13.15      1  38        1         0
#> 42    12.43      1  49        0         1
#> 99    21.19      1  38        0         1
#> 61.3  10.12      1  36        0         1
#> 114.1 13.68      1  NA        0         0
#> 88    18.37      1  47        0         0
#> 197   21.60      1  69        1         0
#> 66    22.13      1  53        0         0
#> 45    17.42      1  54        0         1
#> 105.1 19.75      1  60        0         0
#> 197.1 21.60      1  69        1         0
#> 125.1 15.65      1  67        1         0
#> 145.1 10.07      1  65        1         0
#> 41.1  18.02      1  40        1         0
#> 184.1 17.77      1  38        0         0
#> 184.2 17.77      1  38        0         0
#> 110   17.56      1  65        0         1
#> 2     24.00      0   9        0         0
#> 191   24.00      0  60        0         1
#> 196   24.00      0  19        0         0
#> 191.1 24.00      0  60        0         1
#> 138   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 31    24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 161   24.00      0  45        0         0
#> 19    24.00      0  57        0         1
#> 138.1 24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 2.1   24.00      0   9        0         0
#> 141   24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 17    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 120   24.00      0  68        0         1
#> 146   24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 21    24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 182.1 24.00      0  35        0         0
#> 196.1 24.00      0  19        0         0
#> 44    24.00      0  56        0         0
#> 178   24.00      0  52        1         0
#> 138.2 24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 193   24.00      0  45        0         1
#> 11    24.00      0  42        0         1
#> 98    24.00      0  34        1         0
#> 103   24.00      0  56        1         0
#> 176   24.00      0  43        0         1
#> 9     24.00      0  31        1         0
#> 138.3 24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 46    24.00      0  71        0         0
#> 65.1  24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 196.2 24.00      0  19        0         0
#> 163.1 24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 34    24.00      0  36        0         0
#> 148.1 24.00      0  61        1         0
#> 22    24.00      0  52        1         0
#> 198   24.00      0  66        0         1
#> 19.1  24.00      0  57        0         1
#> 53    24.00      0  32        0         1
#> 94    24.00      0  51        0         1
#> 146.1 24.00      0  63        1         0
#> 3.1   24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 87    24.00      0  27        0         0
#> 138.4 24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 152.1 24.00      0  36        0         1
#> 178.1 24.00      0  52        1         0
#> 67    24.00      0  25        0         0
#> 87.1  24.00      0  27        0         0
#> 35.1  24.00      0  51        0         0
#> 178.2 24.00      0  52        1         0
#> 35.2  24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 54    24.00      0  53        1         0
#> 193.1 24.00      0  45        0         1
#> 162   24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 22.1  24.00      0  52        1         0
#> 176.1 24.00      0  43        0         1
#> 80    24.00      0  41        0         0
#> 33    24.00      0  53        0         0
#> 80.1  24.00      0  41        0         0
#> 148.2 24.00      0  61        1         0
#> 200   24.00      0  64        0         0
#> 87.2  24.00      0  27        0         0
#> 156   24.00      0  50        1         0
#> 98.1  24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 75.1  24.00      0  21        1         0
#> 173   24.00      0  19        0         1
#> 122   24.00      0  66        0         0
#> 131.1 24.00      0  66        0         0
#> 138.5 24.00      0  44        1         0
#> 156.1 24.00      0  50        1         0
#> 156.2 24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.711         NA        NA      NA
#> 2 age, Cure model           0.0126        NA        NA      NA
#> 3 grade_ii, Cure model     -0.111         NA        NA      NA
#> 4 grade_iii, Cure model     0.951         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00910        NA        NA      NA
#> 2 grade_ii, Survival model   0.762          NA        NA      NA
#> 3 grade_iii, Survival model  0.585          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.71149           0.01263          -0.11097           0.95058  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 252.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.71148761       0.01263085      -0.11096987       0.95058375 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009103739      0.761502188      0.585140336 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.245471799 0.364201693 0.593286031 0.018611131 0.071059373 0.847200637
#>   [7] 0.819314289 0.791397413 0.440846252 0.100624640 0.883417446 0.574084910
#>  [13] 0.809953684 0.245471799 0.324979246 0.526265790 0.910746990 0.946833351
#>  [19] 0.154212784 0.507389892 0.507389892 0.235626163 0.354152735 0.928800255
#>  [25] 0.847200637 0.964590353 0.459714622 0.973507601 0.488256152 0.304541844
#>  [31] 0.763525570 0.910746990 0.706839369 0.688018540 0.038340262 0.659752617
#>  [37] 0.937815741 0.393127169 0.973507601 0.791397413 0.121772951 0.612392546
#>  [43] 0.004528719 0.195466094 0.754109065 0.688018540 0.497797331 0.763525570
#>  [49] 0.574084910 0.111020329 0.324979246 0.143107967 0.901645512 0.383510052
#>  [55] 0.478694783 0.324979246 0.706839369 0.049792684 0.973507601 0.049792684
#>  [61] 0.659752617 0.071059373 0.090507850 0.819314289 0.631280594 0.215473207
#>  [67] 0.555073860 0.593286031 0.545431040 0.154212784 0.004528719 0.294465887
#>  [73] 0.526265790 0.264630759 0.847200637 0.018611131 0.612392546 0.640854763
#>  [79] 0.440846252 0.735167501 0.946833351 0.284392232 0.225653344 0.837878710
#>  [85] 0.402652027 0.725747834 0.763525570 0.640854763 0.678597583 0.744647267
#>  [91] 0.195466094 0.847200637 0.314702784 0.175011195 0.132275711 0.469214109
#>  [97] 0.264630759 0.175011195 0.555073860 0.883417446 0.364201693 0.402652027
#> [103] 0.402652027 0.431133790 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   158    41    29    78   129    61    52   107   117   113   145     6    10 
#> 20.14 18.02 15.45 23.88 23.41 10.12 10.42 11.18 17.46 22.86 10.07 15.64 10.53 
#> 158.1   108   100   183    25   136   188 188.1   128    51    70  61.1    91 
#> 20.14 18.29 16.07  9.24  6.32 21.83 16.16 16.16 20.35 18.23  7.38 10.12  5.33 
#>   111   127   130     8    43 183.1    14   155    86    13    77   134 127.1 
#> 17.45  3.53 16.47 18.43 12.10  9.24 12.89 13.08 23.81 14.34  7.27 17.81  3.53 
#> 107.1   194    18    24    36    49 155.1    85  43.1   6.1    15 108.1   175 
#> 11.18 22.40 15.21 23.89 21.19 12.19 13.08 16.44 12.10 15.64 22.68 18.29 21.91 
#>   101    40    23 108.2  14.1   164 127.2 164.1  13.1 129.1    92  52.1   133 
#>  9.97 18.00 16.92 18.29 12.89 23.60  3.53 23.60 14.34 23.41 22.92 10.42 14.65 
#>    90   125  29.1    26 136.1  24.1    97 100.1   105  61.2  78.1  18.1    57 
#> 20.94 15.65 15.45 15.77 21.83 23.89 19.14 16.07 19.75 10.12 23.88 15.21 14.46 
#> 117.1   177  25.1    55   190    93   184   154  43.2  57.1    60    42    99 
#> 17.46 12.53  6.32 19.34 20.81 10.33 17.77 12.63 12.10 14.46 13.15 12.43 21.19 
#>  61.3    88   197    66    45 105.1 197.1 125.1 145.1  41.1 184.1 184.2   110 
#> 10.12 18.37 21.60 22.13 17.42 19.75 21.60 15.65 10.07 18.02 17.77 17.77 17.56 
#>     2   191   196 191.1   138   152    31   182   161    19 138.1   163   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141     3   104    65    17   112   120   146   148    21   126 182.1 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44   178 138.2 112.1   193    11    98   103   176     9 138.3   147    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1    35 196.2 163.1   116    34 148.1    22   198  19.1    53    94 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1    75    87 138.4   131    20 152.1 178.1    67  87.1  35.1 178.2  35.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1    54 193.1   162   119  22.1 176.1    80    33  80.1 148.2   200  87.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156  98.1   174  75.1   173   122 131.1 138.5 156.1 156.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[64]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01540235                0.42723626               -0.02119489 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.16210339              0.01838523              0.30348012 
#>   grade_iii, Cure model 
#>              1.05095221 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 56    12.21      1  60        0         0
#> 192   16.44      1  31        1         0
#> 192.1 16.44      1  31        1         0
#> 139   21.49      1  63        1         0
#> 66    22.13      1  53        0         0
#> 171   16.57      1  41        0         1
#> 14    12.89      1  21        0         0
#> 15    22.68      1  48        0         0
#> 93    10.33      1  52        0         1
#> 16     8.71      1  71        0         1
#> 57    14.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 78    23.88      1  43        0         0
#> 179   18.63      1  42        0         0
#> 136   21.83      1  43        0         1
#> 30    17.43      1  78        0         0
#> 194   22.40      1  38        0         1
#> 76    19.22      1  54        0         1
#> 45    17.42      1  54        0         1
#> 79    16.23      1  54        1         0
#> 167   15.55      1  56        1         0
#> 85    16.44      1  36        0         0
#> 168   23.72      1  70        0         0
#> 16.1   8.71      1  71        0         1
#> 181   16.46      1  45        0         1
#> 127    3.53      1  62        0         1
#> 86    23.81      1  58        0         1
#> 125   15.65      1  67        1         0
#> 171.1 16.57      1  41        0         1
#> 129   23.41      1  53        1         0
#> 36    21.19      1  48        0         1
#> 14.1  12.89      1  21        0         0
#> 111   17.45      1  47        0         1
#> 37    12.52      1  57        1         0
#> 195   11.76      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 133   14.65      1  57        0         0
#> 99    21.19      1  38        0         1
#> 92    22.92      1  47        0         1
#> 139.1 21.49      1  63        1         0
#> 154   12.63      1  20        1         0
#> 16.2   8.71      1  71        0         1
#> 133.1 14.65      1  57        0         0
#> 157   15.10      1  47        0         0
#> 18    15.21      1  49        1         0
#> 153   21.33      1  55        1         0
#> 181.1 16.46      1  45        0         1
#> 101    9.97      1  10        0         1
#> 6     15.64      1  39        0         0
#> 70     7.38      1  30        1         0
#> 192.2 16.44      1  31        1         0
#> 194.1 22.40      1  38        0         1
#> 61    10.12      1  36        0         1
#> 145   10.07      1  65        1         0
#> 195.1 11.76      1  NA        1         0
#> 167.1 15.55      1  56        1         0
#> 5     16.43      1  51        0         1
#> 183    9.24      1  67        1         0
#> 166   19.98      1  48        0         0
#> 13    14.34      1  54        0         1
#> 167.2 15.55      1  56        1         0
#> 180   14.82      1  37        0         0
#> 60    13.15      1  38        1         0
#> 70.1   7.38      1  30        1         0
#> 133.2 14.65      1  57        0         0
#> 117   17.46      1  26        0         1
#> 15.1  22.68      1  48        0         0
#> 127.1  3.53      1  62        0         1
#> 96    14.54      1  33        0         1
#> 86.1  23.81      1  58        0         1
#> 40    18.00      1  28        1         0
#> 195.2 11.76      1  NA        1         0
#> 99.1  21.19      1  38        0         1
#> 158   20.14      1  74        1         0
#> 30.1  17.43      1  78        0         0
#> 97    19.14      1  65        0         1
#> 29    15.45      1  68        1         0
#> 60.1  13.15      1  38        1         0
#> 57.1  14.46      1  45        0         1
#> 10    10.53      1  34        0         0
#> 10.1  10.53      1  34        0         0
#> 59    10.16      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 149    8.37      1  33        1         0
#> 93.1  10.33      1  52        0         1
#> 117.1 17.46      1  26        0         1
#> 5.1   16.43      1  51        0         1
#> 139.2 21.49      1  63        1         0
#> 110   17.56      1  65        0         1
#> 76.1  19.22      1  54        0         1
#> 92.1  22.92      1  47        0         1
#> 192.3 16.44      1  31        1         0
#> 136.1 21.83      1  43        0         1
#> 26.1  15.77      1  49        0         1
#> 110.1 17.56      1  65        0         1
#> 89    11.44      1  NA        0         0
#> 158.1 20.14      1  74        1         0
#> 39    15.59      1  37        0         1
#> 90    20.94      1  50        0         1
#> 167.3 15.55      1  56        1         0
#> 55    19.34      1  69        0         1
#> 105   19.75      1  60        0         0
#> 61.1  10.12      1  36        0         1
#> 164.1 23.60      1  76        0         1
#> 181.2 16.46      1  45        0         1
#> 192.4 16.44      1  31        1         0
#> 199   19.81      1  NA        0         1
#> 170   19.54      1  43        0         1
#> 43    12.10      1  61        0         1
#> 70.2   7.38      1  30        1         0
#> 197   21.60      1  69        1         0
#> 32    20.90      1  37        1         0
#> 152   24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 148   24.00      0  61        1         0
#> 121   24.00      0  57        1         0
#> 19    24.00      0  57        0         1
#> 147   24.00      0  76        1         0
#> 65    24.00      0  57        1         0
#> 185   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 160   24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 160.1 24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 75    24.00      0  21        1         0
#> 135   24.00      0  58        1         0
#> 116   24.00      0  58        0         1
#> 182   24.00      0  35        0         0
#> 73    24.00      0  NA        0         1
#> 116.1 24.00      0  58        0         1
#> 156   24.00      0  50        1         0
#> 35    24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 20    24.00      0  46        1         0
#> 20.1  24.00      0  46        1         0
#> 75.1  24.00      0  21        1         0
#> 178   24.00      0  52        1         0
#> 163   24.00      0  66        0         0
#> 19.1  24.00      0  57        0         1
#> 142   24.00      0  53        0         0
#> 152.1 24.00      0  36        0         1
#> 119   24.00      0  17        0         0
#> 144   24.00      0  28        0         1
#> 198   24.00      0  66        0         1
#> 2     24.00      0   9        0         0
#> 20.2  24.00      0  46        1         0
#> 131   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 163.1 24.00      0  66        0         0
#> 7     24.00      0  37        1         0
#> 75.2  24.00      0  21        1         0
#> 87    24.00      0  27        0         0
#> 46    24.00      0  71        0         0
#> 48    24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 11    24.00      0  42        0         1
#> 98.1  24.00      0  34        1         0
#> 22    24.00      0  52        1         0
#> 120   24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 196   24.00      0  19        0         0
#> 84    24.00      0  39        0         1
#> 74    24.00      0  43        0         1
#> 144.1 24.00      0  28        0         1
#> 22.1  24.00      0  52        1         0
#> 34.1  24.00      0  36        0         0
#> 152.2 24.00      0  36        0         1
#> 47    24.00      0  38        0         1
#> 72    24.00      0  40        0         1
#> 141   24.00      0  44        1         0
#> 163.2 24.00      0  66        0         0
#> 186.1 24.00      0  45        1         0
#> 146   24.00      0  63        1         0
#> 198.1 24.00      0  66        0         1
#> 200   24.00      0  64        0         0
#> 126   24.00      0  48        0         0
#> 142.1 24.00      0  53        0         0
#> 7.1   24.00      0  37        1         0
#> 17    24.00      0  38        0         1
#> 38.1  24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 17.1  24.00      0  38        0         1
#> 46.1  24.00      0  71        0         0
#> 103   24.00      0  56        1         0
#> 83    24.00      0   6        0         0
#> 102   24.00      0  49        0         0
#> 53    24.00      0  32        0         1
#> 112   24.00      0  61        0         0
#> 176   24.00      0  43        0         1
#> 138   24.00      0  44        1         0
#> 147.1 24.00      0  76        1         0
#> 161   24.00      0  45        0         0
#> 102.1 24.00      0  49        0         0
#> 2.1   24.00      0   9        0         0
#> 19.2  24.00      0  57        0         1
#> 119.1 24.00      0  17        0         0
#> 122   24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.16          NA        NA      NA
#> 2 age, Cure model           0.0184        NA        NA      NA
#> 3 grade_ii, Cure model      0.303         NA        NA      NA
#> 4 grade_iii, Cure model     1.05          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0154        NA        NA      NA
#> 2 grade_ii, Survival model    0.427         NA        NA      NA
#> 3 grade_iii, Survival model  -0.0212        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.16210           0.01839           0.30348           1.05095  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 252.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.16210339       0.01838523       0.30348012       1.05095221 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01540235       0.42723626      -0.02119489 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 6.882207e-01 2.672289e-01 2.672289e-01 3.587923e-02 2.161615e-02
#>   [6] 2.183076e-01 6.318404e-01 1.110908e-02 7.466123e-01 8.541189e-01
#>  [11] 5.631196e-01 3.571543e-01 2.753402e-05 1.351956e-01 2.491273e-02
#>  [16] 1.911030e-01 1.596757e-02 1.139323e-01 2.089503e-01 3.462416e-01
#>  [21] 4.141096e-01 2.672289e-01 8.740967e-04 8.541189e-01 2.373888e-01
#>  [26] 9.668496e-01 1.914586e-04 3.793678e-01 2.183076e-01 3.865017e-03
#>  [31] 5.254566e-02 6.318404e-01 1.825344e-01 6.739877e-01 1.598123e-03
#>  [36] 5.108787e-01 5.254566e-02 7.163211e-03 3.587923e-02 6.598628e-01
#>  [41] 8.541189e-01 5.108787e-01 4.855976e-01 4.731921e-01 4.797336e-02
#>  [46] 2.373888e-01 8.227753e-01 3.907962e-01 9.185753e-01 2.672289e-01
#>  [51] 1.596757e-02 7.766561e-01 8.072173e-01 4.141096e-01 3.249797e-01
#>  [56] 8.383806e-01 8.864940e-02 5.902481e-01 4.141096e-01 4.981685e-01
#>  [61] 6.041575e-01 9.185753e-01 5.108787e-01 1.661928e-01 1.110908e-02
#>  [66] 9.668496e-01 5.497215e-01 1.914586e-04 1.427903e-01 5.254566e-02
#>  [71] 7.747471e-02 1.911030e-01 1.277990e-01 4.608769e-01 6.041575e-01
#>  [76] 5.631196e-01 7.172313e-01 7.172313e-01 5.429422e-03 9.022237e-01
#>  [81] 7.466123e-01 1.661928e-01 3.249797e-01 3.587923e-02 1.503867e-01
#>  [86] 1.139323e-01 7.163211e-03 2.672289e-01 2.491273e-02 3.571543e-01
#>  [91] 1.503867e-01 7.747471e-02 4.023776e-01 6.674426e-02 4.141096e-01
#>  [96] 1.072563e-01 9.462850e-02 7.766561e-01 1.598123e-03 2.373888e-01
#> [101] 2.672289e-01 1.008445e-01 7.026336e-01 9.185753e-01 3.193402e-02
#> [106] 7.208286e-02 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    56   192 192.1   139    66   171    14    15    93    16    57    26    78 
#> 12.21 16.44 16.44 21.49 22.13 16.57 12.89 22.68 10.33  8.71 14.46 15.77 23.88 
#>   179   136    30   194    76    45    79   167    85   168  16.1   181   127 
#> 18.63 21.83 17.43 22.40 19.22 17.42 16.23 15.55 16.44 23.72  8.71 16.46  3.53 
#>    86   125 171.1   129    36  14.1   111    37   164   133    99    92 139.1 
#> 23.81 15.65 16.57 23.41 21.19 12.89 17.45 12.52 23.60 14.65 21.19 22.92 21.49 
#>   154  16.2 133.1   157    18   153 181.1   101     6    70 192.2 194.1    61 
#> 12.63  8.71 14.65 15.10 15.21 21.33 16.46  9.97 15.64  7.38 16.44 22.40 10.12 
#>   145 167.1     5   183   166    13 167.2   180    60  70.1 133.2   117  15.1 
#> 10.07 15.55 16.43  9.24 19.98 14.34 15.55 14.82 13.15  7.38 14.65 17.46 22.68 
#> 127.1    96  86.1    40  99.1   158  30.1    97    29  60.1  57.1    10  10.1 
#>  3.53 14.54 23.81 18.00 21.19 20.14 17.43 19.14 15.45 13.15 14.46 10.53 10.53 
#>    69   149  93.1 117.1   5.1 139.2   110  76.1  92.1 192.3 136.1  26.1 110.1 
#> 23.23  8.37 10.33 17.46 16.43 21.49 17.56 19.22 22.92 16.44 21.83 15.77 17.56 
#> 158.1    39    90 167.3    55   105  61.1 164.1 181.2 192.4   170    43  70.2 
#> 20.14 15.59 20.94 15.55 19.34 19.75 10.12 23.60 16.46 16.44 19.54 12.10  7.38 
#>   197    32   152    34   148   121    19   147    65   185    38   151   160 
#> 21.60 20.90 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174 160.1    80    75   135   116   182 116.1   156    35   173    20  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1   178   163  19.1   142 152.1   119   144   198     2  20.2   131    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 163.1     7  75.2    87    46    48   193    11  98.1    22   120   186   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84    74 144.1  22.1  34.1 152.2    47    72   141 163.2 186.1   146 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200   126 142.1   7.1    17  38.1    71    67  17.1  46.1   103    83   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53   112   176   138 147.1   161 102.1   2.1  19.2 119.1   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[65]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007048959               0.671690411               0.625055912 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.110211978            -0.006653756             0.334313916 
#>   grade_iii, Cure model 
#>             0.990500426 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 113   22.86      1  34        0         0
#> 91     5.33      1  61        0         1
#> 108   18.29      1  39        0         1
#> 51    18.23      1  83        0         1
#> 107   11.18      1  54        1         0
#> 16     8.71      1  71        0         1
#> 113.1 22.86      1  34        0         0
#> 187    9.92      1  39        1         0
#> 55    19.34      1  69        0         1
#> 140   12.68      1  59        1         0
#> 127    3.53      1  62        0         1
#> 69    23.23      1  25        0         1
#> 108.1 18.29      1  39        0         1
#> 85    16.44      1  36        0         0
#> 159   10.55      1  50        0         1
#> 93    10.33      1  52        0         1
#> 92    22.92      1  47        0         1
#> 8     18.43      1  32        0         0
#> 129   23.41      1  53        1         0
#> 124    9.73      1  NA        1         0
#> 108.2 18.29      1  39        0         1
#> 77     7.27      1  67        0         1
#> 99    21.19      1  38        0         1
#> 18    15.21      1  49        1         0
#> 167   15.55      1  56        1         0
#> 5     16.43      1  51        0         1
#> 29    15.45      1  68        1         0
#> 179   18.63      1  42        0         0
#> 59    10.16      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 189   10.51      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 68    20.62      1  44        0         0
#> 88    18.37      1  47        0         0
#> 97    19.14      1  65        0         1
#> 13    14.34      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 24    23.89      1  38        0         0
#> 49    12.19      1  48        1         0
#> 25     6.32      1  34        1         0
#> 150   20.33      1  48        0         0
#> 179.1 18.63      1  42        0         0
#> 14    12.89      1  21        0         0
#> 86    23.81      1  58        0         1
#> 106   16.67      1  49        1         0
#> 114   13.68      1  NA        0         0
#> 42    12.43      1  49        0         1
#> 89.1  11.44      1  NA        0         0
#> 129.1 23.41      1  53        1         0
#> 41    18.02      1  40        1         0
#> 123   13.00      1  44        1         0
#> 49.1  12.19      1  48        1         0
#> 51.1  18.23      1  83        0         1
#> 89.2  11.44      1  NA        0         0
#> 117   17.46      1  26        0         1
#> 10    10.53      1  34        0         0
#> 37    12.52      1  57        1         0
#> 171   16.57      1  41        0         1
#> 169   22.41      1  46        0         0
#> 57    14.46      1  45        0         1
#> 85.1  16.44      1  36        0         0
#> 15    22.68      1  48        0         0
#> 8.1   18.43      1  32        0         0
#> 24.1  23.89      1  38        0         0
#> 194   22.40      1  38        0         1
#> 177   12.53      1  75        0         0
#> 199   19.81      1  NA        0         1
#> 78    23.88      1  43        0         0
#> 52    10.42      1  52        0         1
#> 86.1  23.81      1  58        0         1
#> 69.1  23.23      1  25        0         1
#> 14.1  12.89      1  21        0         0
#> 184   17.77      1  38        0         0
#> 40    18.00      1  28        1         0
#> 43    12.10      1  61        0         1
#> 168   23.72      1  70        0         0
#> 43.1  12.10      1  61        0         1
#> 49.2  12.19      1  48        1         0
#> 78.1  23.88      1  43        0         0
#> 29.1  15.45      1  68        1         0
#> 68.1  20.62      1  44        0         0
#> 180   14.82      1  37        0         0
#> 13.1  14.34      1  54        0         1
#> 157   15.10      1  47        0         0
#> 45    17.42      1  54        0         1
#> 52.1  10.42      1  52        0         1
#> 155   13.08      1  26        0         0
#> 189.1 10.51      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 171.1 16.57      1  41        0         1
#> 41.1  18.02      1  40        1         0
#> 149    8.37      1  33        1         0
#> 78.2  23.88      1  43        0         0
#> 111   17.45      1  47        0         1
#> 60    13.15      1  38        1         0
#> 63    22.77      1  31        1         0
#> 52.2  10.42      1  52        0         1
#> 29.2  15.45      1  68        1         0
#> 50    10.02      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 181   16.46      1  45        0         1
#> 139   21.49      1  63        1         0
#> 15.1  22.68      1  48        0         0
#> 91.1   5.33      1  61        0         1
#> 5.1   16.43      1  51        0         1
#> 136   21.83      1  43        0         1
#> 93.1  10.33      1  52        0         1
#> 153   21.33      1  55        1         0
#> 63.1  22.77      1  31        1         0
#> 157.1 15.10      1  47        0         0
#> 166   19.98      1  48        0         0
#> 51.2  18.23      1  83        0         1
#> 165   24.00      0  47        0         0
#> 143   24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 176   24.00      0  43        0         1
#> 109   24.00      0  48        0         0
#> 182   24.00      0  35        0         0
#> 116.1 24.00      0  58        0         1
#> 53    24.00      0  32        0         1
#> 126   24.00      0  48        0         0
#> 67    24.00      0  25        0         0
#> 54    24.00      0  53        1         0
#> 132   24.00      0  55        0         0
#> 144   24.00      0  28        0         1
#> 2     24.00      0   9        0         0
#> 9     24.00      0  31        1         0
#> 53.1  24.00      0  32        0         1
#> 47    24.00      0  38        0         1
#> 47.1  24.00      0  38        0         1
#> 104   24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 144.1 24.00      0  28        0         1
#> 12    24.00      0  63        0         0
#> 102   24.00      0  49        0         0
#> 163   24.00      0  66        0         0
#> 28    24.00      0  67        1         0
#> 138   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 132.1 24.00      0  55        0         0
#> 62    24.00      0  71        0         0
#> 21    24.00      0  47        0         0
#> 46    24.00      0  71        0         0
#> 46.1  24.00      0  71        0         0
#> 160   24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 9.1   24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 120   24.00      0  68        0         1
#> 147   24.00      0  76        1         0
#> 147.1 24.00      0  76        1         0
#> 35.1  24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 147.2 24.00      0  76        1         0
#> 120.1 24.00      0  68        0         1
#> 103.1 24.00      0  56        1         0
#> 172   24.00      0  41        0         0
#> 75    24.00      0  21        1         0
#> 122   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 165.1 24.00      0  47        0         0
#> 9.2   24.00      0  31        1         0
#> 109.1 24.00      0  48        0         0
#> 165.2 24.00      0  47        0         0
#> 53.2  24.00      0  32        0         1
#> 115   24.00      0  NA        1         0
#> 151   24.00      0  42        0         0
#> 135   24.00      0  58        1         0
#> 94    24.00      0  51        0         1
#> 131   24.00      0  66        0         0
#> 141.1 24.00      0  44        1         0
#> 12.1  24.00      0  63        0         0
#> 94.1  24.00      0  51        0         1
#> 35.2  24.00      0  51        0         0
#> 115.1 24.00      0  NA        1         0
#> 115.2 24.00      0  NA        1         0
#> 112   24.00      0  61        0         0
#> 132.2 24.00      0  55        0         0
#> 135.1 24.00      0  58        1         0
#> 27    24.00      0  63        1         0
#> 80    24.00      0  41        0         0
#> 143.1 24.00      0  51        0         0
#> 71    24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 103.2 24.00      0  56        1         0
#> 156   24.00      0  50        1         0
#> 176.1 24.00      0  43        0         1
#> 178   24.00      0  52        1         0
#> 73    24.00      0  NA        0         1
#> 200   24.00      0  64        0         0
#> 162   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 33    24.00      0  53        0         0
#> 74.1  24.00      0  43        0         1
#> 147.3 24.00      0  76        1         0
#> 87    24.00      0  27        0         0
#> 172.1 24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.110          NA        NA      NA
#> 2 age, Cure model         -0.00665        NA        NA      NA
#> 3 grade_ii, Cure model     0.334          NA        NA      NA
#> 4 grade_iii, Cure model    0.991          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00705        NA        NA      NA
#> 2 grade_ii, Survival model   0.672          NA        NA      NA
#> 3 grade_iii, Survival model  0.625          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.110212         -0.006654          0.334314          0.990500  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.1 
#> Residual Deviance: 248.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.110211978     -0.006653756      0.334313916      0.990500426 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007048959      0.671690411      0.625055912 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.38218016 0.98722301 0.63257144 0.65664710 0.92822371 0.96963937
#>   [7] 0.38218016 0.96515150 0.57152581 0.87846072 0.99575787 0.33878817
#>  [13] 0.63257144 0.76020704 0.93298201 0.95613064 0.36812370 0.60675606
#>  [19] 0.30596593 0.63257144 0.97849982 0.52415302 0.81371138 0.79092756
#>  [25] 0.77272442 0.79685835 0.58943033 0.70027910 0.78491083 0.53380182
#>  [31] 0.62395755 0.58061291 0.84141653 0.07186453 0.90401754 0.98287581
#>  [37] 0.55267918 0.58943033 0.86800134 0.24204764 0.73458030 0.89391475
#>  [43] 0.30596593 0.67881027 0.86274567 0.90401754 0.65664710 0.71423871
#>  [49] 0.93770041 0.88880852 0.74114903 0.45813723 0.83592634 0.76020704
#>  [55] 0.43396944 0.60675606 0.07186453 0.47026074 0.88364517 0.15443871
#>  [61] 0.94241240 0.24204764 0.33878817 0.86800134 0.70726948 0.69316614
#>  [67] 0.91864015 0.28478360 0.91864015 0.90401754 0.15443871 0.79685835
#>  [73] 0.53380182 0.83037911 0.84141653 0.81929971 0.72790623 0.94241240
#>  [79] 0.85743600 0.49322044 0.74114903 0.67881027 0.97408440 0.15443871
#>  [85] 0.72112434 0.85211971 0.40924783 0.94241240 0.79685835 0.89897362
#>  [91] 0.75389221 0.50395554 0.43396944 0.98722301 0.77272442 0.48194967
#>  [97] 0.95613064 0.51424108 0.40924783 0.81929971 0.56213429 0.65664710
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   113    91   108    51   107    16 113.1   187    55   140   127    69 108.1 
#> 22.86  5.33 18.29 18.23 11.18  8.71 22.86  9.92 19.34 12.68  3.53 23.23 18.29 
#>    85   159    93    92     8   129 108.2    77    99    18   167     5    29 
#> 16.44 10.55 10.33 22.92 18.43 23.41 18.29  7.27 21.19 15.21 15.55 16.43 15.45 
#>   179   134   125    68    88    97    13    24    49    25   150 179.1    14 
#> 18.63 17.81 15.65 20.62 18.37 19.14 14.34 23.89 12.19  6.32 20.33 18.63 12.89 
#>    86   106    42 129.1    41   123  49.1  51.1   117    10    37   171   169 
#> 23.81 16.67 12.43 23.41 18.02 13.00 12.19 18.23 17.46 10.53 12.52 16.57 22.41 
#>    57  85.1    15   8.1  24.1   194   177    78    52  86.1  69.1  14.1   184 
#> 14.46 16.44 22.68 18.43 23.89 22.40 12.53 23.88 10.42 23.81 23.23 12.89 17.77 
#>    40    43   168  43.1  49.2  78.1  29.1  68.1   180  13.1   157    45  52.1 
#> 18.00 12.10 23.72 12.10 12.19 23.88 15.45 20.62 14.82 14.34 15.10 17.42 10.42 
#>   155   197 171.1  41.1   149  78.2   111    60    63  52.2  29.2    56   181 
#> 13.08 21.60 16.57 18.02  8.37 23.88 17.45 13.15 22.77 10.42 15.45 12.21 16.46 
#>   139  15.1  91.1   5.1   136  93.1   153  63.1 157.1   166  51.2   165   143 
#> 21.49 22.68  5.33 16.43 21.83 10.33 21.33 22.77 15.10 19.98 18.23 24.00 24.00 
#>   116   176   109   182 116.1    53   126    67    54   132   144     2     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1    47  47.1   104   103 144.1    12   102   163    28   138   119 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62    21    46  46.1   160   185    35   118   9.1   141    31   120   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.1  35.1    74 147.2 120.1 103.1   172    75   122   142 165.1   9.2 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.2  53.2   151   135    94   131 141.1  12.1  94.1  35.2   112 132.2 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    80 143.1    71   137 103.2   156 176.1   178   200   162    11    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1 147.3    87 172.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[66]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006313494               0.442926970               0.251733880 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.4748443               0.0169093              -0.5922694 
#>   grade_iii, Cure model 
#>               0.2777032 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 159   10.55      1  50        0         1
#> 61    10.12      1  36        0         1
#> 188   16.16      1  46        0         1
#> 129   23.41      1  53        1         0
#> 5     16.43      1  51        0         1
#> 4     17.64      1  NA        0         1
#> 36    21.19      1  48        0         1
#> 24    23.89      1  38        0         0
#> 77     7.27      1  67        0         1
#> 145   10.07      1  65        1         0
#> 199   19.81      1  NA        0         1
#> 169   22.41      1  46        0         0
#> 128   20.35      1  35        0         1
#> 180   14.82      1  37        0         0
#> 150   20.33      1  48        0         0
#> 153   21.33      1  55        1         0
#> 189   10.51      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 96    14.54      1  33        0         1
#> 10    10.53      1  34        0         0
#> 29    15.45      1  68        1         0
#> 13    14.34      1  54        0         1
#> 91     5.33      1  61        0         1
#> 69    23.23      1  25        0         1
#> 153.1 21.33      1  55        1         0
#> 168   23.72      1  70        0         0
#> 183    9.24      1  67        1         0
#> 192   16.44      1  31        1         0
#> 108   18.29      1  39        0         1
#> 58    19.34      1  39        0         0
#> 111   17.45      1  47        0         1
#> 50    10.02      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 129.1 23.41      1  53        1         0
#> 183.1  9.24      1  67        1         0
#> 5.1   16.43      1  51        0         1
#> 70     7.38      1  30        1         0
#> 107   11.18      1  54        1         0
#> 16     8.71      1  71        0         1
#> 169.1 22.41      1  46        0         0
#> 169.2 22.41      1  46        0         0
#> 167   15.55      1  56        1         0
#> 96.1  14.54      1  33        0         1
#> 106   16.67      1  49        1         0
#> 51.1  18.23      1  83        0         1
#> 42    12.43      1  49        0         1
#> 39    15.59      1  37        0         1
#> 85    16.44      1  36        0         0
#> 129.2 23.41      1  53        1         0
#> 180.1 14.82      1  37        0         0
#> 57    14.46      1  45        0         1
#> 168.1 23.72      1  70        0         0
#> 184   17.77      1  38        0         0
#> 86    23.81      1  58        0         1
#> 100   16.07      1  60        0         0
#> 107.1 11.18      1  54        1         0
#> 70.1   7.38      1  30        1         0
#> 177   12.53      1  75        0         0
#> 180.2 14.82      1  37        0         0
#> 39.1  15.59      1  37        0         1
#> 66    22.13      1  53        0         0
#> 49    12.19      1  48        1         0
#> 55    19.34      1  69        0         1
#> 51.2  18.23      1  83        0         1
#> 153.2 21.33      1  55        1         0
#> 13.1  14.34      1  54        0         1
#> 59    10.16      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 123   13.00      1  44        1         0
#> 15.1  22.68      1  48        0         0
#> 188.1 16.16      1  46        0         1
#> 90    20.94      1  50        0         1
#> 108.1 18.29      1  39        0         1
#> 188.2 16.16      1  46        0         1
#> 154   12.63      1  20        1         0
#> 52    10.42      1  52        0         1
#> 106.1 16.67      1  49        1         0
#> 157   15.10      1  47        0         0
#> 140   12.68      1  59        1         0
#> 190   20.81      1  42        1         0
#> 155   13.08      1  26        0         0
#> 8     18.43      1  32        0         0
#> 58.1  19.34      1  39        0         0
#> 190.1 20.81      1  42        1         0
#> 106.2 16.67      1  49        1         0
#> 117   17.46      1  26        0         1
#> 36.1  21.19      1  48        0         1
#> 69.1  23.23      1  25        0         1
#> 123.1 13.00      1  44        1         0
#> 153.3 21.33      1  55        1         0
#> 197   21.60      1  69        1         0
#> 51.3  18.23      1  83        0         1
#> 86.1  23.81      1  58        0         1
#> 10.1  10.53      1  34        0         0
#> 23    16.92      1  61        0         0
#> 42.1  12.43      1  49        0         1
#> 164   23.60      1  76        0         1
#> 8.1   18.43      1  32        0         0
#> 101    9.97      1  10        0         1
#> 113   22.86      1  34        0         0
#> 177.1 12.53      1  75        0         0
#> 25     6.32      1  34        1         0
#> 88    18.37      1  47        0         0
#> 157.1 15.10      1  47        0         0
#> 69.2  23.23      1  25        0         1
#> 55.1  19.34      1  69        0         1
#> 136.1 21.83      1  43        0         1
#> 100.1 16.07      1  60        0         0
#> 105   19.75      1  60        0         0
#> 113.1 22.86      1  34        0         0
#> 158   20.14      1  74        1         0
#> 47    24.00      0  38        0         1
#> 65    24.00      0  57        1         0
#> 176   24.00      0  43        0         1
#> 198   24.00      0  66        0         1
#> 196   24.00      0  19        0         0
#> 80    24.00      0  41        0         0
#> 172   24.00      0  41        0         0
#> 196.1 24.00      0  19        0         0
#> 47.1  24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 156   24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 174   24.00      0  49        1         0
#> 3     24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 122   24.00      0  66        0         0
#> 174.1 24.00      0  49        1         0
#> 118   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 31    24.00      0  36        0         1
#> 148   24.00      0  61        1         0
#> 156.1 24.00      0  50        1         0
#> 67    24.00      0  25        0         0
#> 118.1 24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 121   24.00      0  57        1         0
#> 122.1 24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 47.2  24.00      0  38        0         1
#> 200   24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 54    24.00      0  53        1         0
#> 172.1 24.00      0  41        0         0
#> 165.1 24.00      0  47        0         0
#> 27    24.00      0  63        1         0
#> 182   24.00      0  35        0         0
#> 144.1 24.00      0  28        0         1
#> 156.2 24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 161.1 24.00      0  45        0         0
#> 103.1 24.00      0  56        1         0
#> 62    24.00      0  71        0         0
#> 73.1  24.00      0  NA        0         1
#> 1.1   24.00      0  23        1         0
#> 48    24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 103.2 24.00      0  56        1         0
#> 48.1  24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 173   24.00      0  19        0         1
#> 27.1  24.00      0  63        1         0
#> 137   24.00      0  45        1         0
#> 152   24.00      0  36        0         1
#> 142   24.00      0  53        0         0
#> 53.1  24.00      0  32        0         1
#> 75    24.00      0  21        1         0
#> 138   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 22    24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 160.1 24.00      0  31        1         0
#> 138.1 24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 31.1  24.00      0  36        0         1
#> 176.1 24.00      0  43        0         1
#> 147   24.00      0  76        1         0
#> 176.2 24.00      0  43        0         1
#> 152.1 24.00      0  36        0         1
#> 47.3  24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 148.1 24.00      0  61        1         0
#> 28    24.00      0  67        1         0
#> 94    24.00      0  51        0         1
#> 191   24.00      0  60        0         1
#> 71.1  24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 141.1 24.00      0  44        1         0
#> 165.2 24.00      0  47        0         0
#> 163   24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 94.1  24.00      0  51        0         1
#> 120   24.00      0  68        0         1
#> 47.4  24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.475         NA        NA      NA
#> 2 age, Cure model           0.0169        NA        NA      NA
#> 3 grade_ii, Cure model     -0.592         NA        NA      NA
#> 4 grade_iii, Cure model     0.278         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00631        NA        NA      NA
#> 2 grade_ii, Survival model   0.443          NA        NA      NA
#> 3 grade_iii, Survival model  0.252          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.47484           0.01691          -0.59227           0.27770  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 255.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.4748443        0.0169093       -0.5922694        0.2777032 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006313494      0.442926970      0.251733880 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.849575881 0.889745071 0.542323518 0.052405373 0.522927650 0.232025557
#>   [7] 0.003241872 0.969960428 0.899830839 0.133486434 0.277302851 0.649984933
#>  [13] 0.286403199 0.197349045 0.397652748 0.679670275 0.859611833 0.620354746
#>  [19] 0.709613675 0.989987133 0.076266468 0.197349045 0.025163003 0.919971769
#>  [25] 0.503580543 0.378713446 0.314034819 0.455101155 0.169375261 0.052405373
#>  [31] 0.919971769 0.522927650 0.950043371 0.829637036 0.939970848 0.133486434
#>  [37] 0.133486434 0.610476865 0.679670275 0.474798340 0.397652748 0.799555314
#>  [43] 0.590851497 0.503580543 0.052405373 0.649984933 0.699581576 0.025163003
#>  [49] 0.435469492 0.011556977 0.571214253 0.829637036 0.950043371 0.779557814
#>  [55] 0.649984933 0.590851497 0.159884103 0.819580886 0.314034819 0.397652748
#>  [61] 0.197349045 0.709613675 0.116155585 0.739659347 0.116155585 0.542323518
#>  [67] 0.250136190 0.378713446 0.542323518 0.769591179 0.879656474 0.474798340
#>  [73] 0.630230475 0.759576230 0.259382791 0.729583922 0.350305664 0.314034819
#>  [79] 0.259382791 0.474798340 0.445295221 0.232025557 0.076266468 0.739659347
#>  [85] 0.197349045 0.187867081 0.397652748 0.011556977 0.859611833 0.464916403
#>  [91] 0.799555314 0.042268806 0.350305664 0.909912870 0.099478559 0.779557814
#>  [97] 0.979986898 0.369119763 0.630230475 0.076266468 0.314034819 0.169375261
#> [103] 0.571214253 0.304763253 0.099478559 0.295579796 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   159    61   188   129     5    36    24    77   145   169   128   180   150 
#> 10.55 10.12 16.16 23.41 16.43 21.19 23.89  7.27 10.07 22.41 20.35 14.82 20.33 
#>   153    51    96    10    29    13    91    69 153.1   168   183   192   108 
#> 21.33 18.23 14.54 10.53 15.45 14.34  5.33 23.23 21.33 23.72  9.24 16.44 18.29 
#>    58   111   136 129.1 183.1   5.1    70   107    16 169.1 169.2   167  96.1 
#> 19.34 17.45 21.83 23.41  9.24 16.43  7.38 11.18  8.71 22.41 22.41 15.55 14.54 
#>   106  51.1    42    39    85 129.2 180.1    57 168.1   184    86   100 107.1 
#> 16.67 18.23 12.43 15.59 16.44 23.41 14.82 14.46 23.72 17.77 23.81 16.07 11.18 
#>  70.1   177 180.2  39.1    66    49    55  51.2 153.2  13.1    15   123  15.1 
#>  7.38 12.53 14.82 15.59 22.13 12.19 19.34 18.23 21.33 14.34 22.68 13.00 22.68 
#> 188.1    90 108.1 188.2   154    52 106.1   157   140   190   155     8  58.1 
#> 16.16 20.94 18.29 16.16 12.63 10.42 16.67 15.10 12.68 20.81 13.08 18.43 19.34 
#> 190.1 106.2   117  36.1  69.1 123.1 153.3   197  51.3  86.1  10.1    23  42.1 
#> 20.81 16.67 17.46 21.19 23.23 13.00 21.33 21.60 18.23 23.81 10.53 16.92 12.43 
#>   164   8.1   101   113 177.1    25    88 157.1  69.2  55.1 136.1 100.1   105 
#> 23.60 18.43  9.97 22.86 12.53  6.32 18.37 15.10 23.23 19.34 21.83 16.07 19.75 
#> 113.1   158    47    65   176   198   196    80   172 196.1  47.1   161   156 
#> 22.86 20.14 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160   144   174     3   151   122 174.1   118    31   148 156.1    67 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   121 122.1     1  47.2   200   165    54 172.1 165.1    27   182 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.2   135 161.1 103.1    62   1.1    48    53 103.2  48.1     7   173  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137   152   142  53.1    75   138   146    22   193 160.1 138.1    71     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1  31.1 176.1   147 176.2 152.1  47.3   141 148.1    28    94   191  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35 141.1 165.2   163    46  94.1   120  47.4   143   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[67]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01009733                0.73670111                0.64097061 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.86266482              0.01449300             -0.05730324 
#>   grade_iii, Cure model 
#>              0.89225810 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 89    11.44      1  NA        0         0
#> 168   23.72      1  70        0         0
#> 96    14.54      1  33        0         1
#> 77     7.27      1  67        0         1
#> 18    15.21      1  49        1         0
#> 101    9.97      1  10        0         1
#> 127    3.53      1  62        0         1
#> 96.1  14.54      1  33        0         1
#> 159   10.55      1  50        0         1
#> 130   16.47      1  53        0         1
#> 63    22.77      1  31        1         0
#> 130.1 16.47      1  53        0         1
#> 130.2 16.47      1  53        0         1
#> 69    23.23      1  25        0         1
#> 149    8.37      1  33        1         0
#> 50    10.02      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 45    17.42      1  54        0         1
#> 127.1  3.53      1  62        0         1
#> 16     8.71      1  71        0         1
#> 159.1 10.55      1  50        0         1
#> 91     5.33      1  61        0         1
#> 60    13.15      1  38        1         0
#> 127.2  3.53      1  62        0         1
#> 113   22.86      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 130.3 16.47      1  53        0         1
#> 114.1 13.68      1  NA        0         0
#> 171   16.57      1  41        0         1
#> 24    23.89      1  38        0         0
#> 114.2 13.68      1  NA        0         0
#> 171.1 16.57      1  41        0         1
#> 197   21.60      1  69        1         0
#> 68    20.62      1  44        0         0
#> 136   21.83      1  43        0         1
#> 56    12.21      1  60        0         0
#> 45.1  17.42      1  54        0         1
#> 23    16.92      1  61        0         0
#> 68.1  20.62      1  44        0         0
#> 130.4 16.47      1  53        0         1
#> 114.3 13.68      1  NA        0         0
#> 130.5 16.47      1  53        0         1
#> 57    14.46      1  45        0         1
#> 134   17.81      1  47        1         0
#> 106   16.67      1  49        1         0
#> 81    14.06      1  34        0         0
#> 30    17.43      1  78        0         0
#> 55    19.34      1  69        0         1
#> 8     18.43      1  32        0         0
#> 97    19.14      1  65        0         1
#> 188   16.16      1  46        0         1
#> 18.1  15.21      1  49        1         0
#> 13    14.34      1  54        0         1
#> 183    9.24      1  67        1         0
#> 58    19.34      1  39        0         0
#> 150   20.33      1  48        0         0
#> 24.1  23.89      1  38        0         0
#> 139   21.49      1  63        1         0
#> 37    12.52      1  57        1         0
#> 42    12.43      1  49        0         1
#> 130.6 16.47      1  53        0         1
#> 180   14.82      1  37        0         0
#> 4     17.64      1  NA        0         1
#> 81.1  14.06      1  34        0         0
#> 45.2  17.42      1  54        0         1
#> 79    16.23      1  54        1         0
#> 145   10.07      1  65        1         0
#> 49    12.19      1  48        1         0
#> 123   13.00      1  44        1         0
#> 14    12.89      1  21        0         0
#> 128   20.35      1  35        0         1
#> 100   16.07      1  60        0         0
#> 37.1  12.52      1  57        1         0
#> 130.7 16.47      1  53        0         1
#> 171.2 16.57      1  41        0         1
#> 150.1 20.33      1  48        0         0
#> 134.1 17.81      1  47        1         0
#> 13.1  14.34      1  54        0         1
#> 88    18.37      1  47        0         0
#> 41    18.02      1  40        1         0
#> 85    16.44      1  36        0         0
#> 68.2  20.62      1  44        0         0
#> 194   22.40      1  38        0         1
#> 157   15.10      1  47        0         0
#> 110   17.56      1  65        0         1
#> 192   16.44      1  31        1         0
#> 60.1  13.15      1  38        1         0
#> 136.1 21.83      1  43        0         1
#> 4.1   17.64      1  NA        0         1
#> 50.1  10.02      1  NA        1         0
#> 56.1  12.21      1  60        0         0
#> 66    22.13      1  53        0         0
#> 181   16.46      1  45        0         1
#> 55.1  19.34      1  69        0         1
#> 41.1  18.02      1  40        1         0
#> 199   19.81      1  NA        0         1
#> 42.1  12.43      1  49        0         1
#> 183.1  9.24      1  67        1         0
#> 91.1   5.33      1  61        0         1
#> 111   17.45      1  47        0         1
#> 51    18.23      1  83        0         1
#> 158   20.14      1  74        1         0
#> 59    10.16      1  NA        1         0
#> 68.3  20.62      1  44        0         0
#> 108   18.29      1  39        0         1
#> 128.1 20.35      1  35        0         1
#> 150.2 20.33      1  48        0         0
#> 18.2  15.21      1  49        1         0
#> 30.1  17.43      1  78        0         0
#> 181.1 16.46      1  45        0         1
#> 60.2  13.15      1  38        1         0
#> 6     15.64      1  39        0         0
#> 82    24.00      0  34        0         0
#> 198   24.00      0  66        0         1
#> 178   24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 19    24.00      0  57        0         1
#> 148   24.00      0  61        1         0
#> 165   24.00      0  47        0         0
#> 135   24.00      0  58        1         0
#> 74    24.00      0  43        0         1
#> 62    24.00      0  71        0         0
#> 84    24.00      0  39        0         1
#> 102   24.00      0  49        0         0
#> 143   24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 146   24.00      0  63        1         0
#> 74.1  24.00      0  43        0         1
#> 103   24.00      0  56        1         0
#> 182   24.00      0  35        0         0
#> 193   24.00      0  45        0         1
#> 174   24.00      0  49        1         0
#> 1     24.00      0  23        1         0
#> 20    24.00      0  46        1         0
#> 132   24.00      0  55        0         0
#> 72    24.00      0  40        0         1
#> 109   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 7     24.00      0  37        1         0
#> 109.1 24.00      0  48        0         0
#> 71    24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 102.1 24.00      0  49        0         0
#> 173   24.00      0  19        0         1
#> 163.1 24.00      0  66        0         0
#> 151   24.00      0  42        0         0
#> 148.1 24.00      0  61        1         0
#> 137   24.00      0  45        1         0
#> 22    24.00      0  52        1         0
#> 200   24.00      0  64        0         0
#> 138   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 121.1 24.00      0  57        1         0
#> 47    24.00      0  38        0         1
#> 185   24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 196   24.00      0  19        0         0
#> 119   24.00      0  17        0         0
#> 28    24.00      0  67        1         0
#> 94    24.00      0  51        0         1
#> 151.1 24.00      0  42        0         0
#> 112   24.00      0  61        0         0
#> 121.2 24.00      0  57        1         0
#> 48    24.00      0  31        1         0
#> 200.1 24.00      0  64        0         0
#> 138.1 24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 191.1 24.00      0  60        0         1
#> 62.1  24.00      0  71        0         0
#> 160   24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 31    24.00      0  36        0         1
#> 176   24.00      0  43        0         1
#> 2.1   24.00      0   9        0         0
#> 19.1  24.00      0  57        0         1
#> 118   24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 34.1  24.00      0  36        0         0
#> 94.1  24.00      0  51        0         1
#> 160.1 24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 11    24.00      0  42        0         1
#> 17.1  24.00      0  38        0         1
#> 22.1  24.00      0  52        1         0
#> 151.2 24.00      0  42        0         0
#> 200.2 24.00      0  64        0         0
#> 82.1  24.00      0  34        0         0
#> 82.2  24.00      0  34        0         0
#> 95.1  24.00      0  68        0         1
#> 119.1 24.00      0  17        0         0
#> 3     24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 137.1 24.00      0  45        1         0
#> 22.2  24.00      0  52        1         0
#> 137.2 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.863         NA        NA      NA
#> 2 age, Cure model           0.0145        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0573        NA        NA      NA
#> 4 grade_iii, Cure model     0.892         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0101        NA        NA      NA
#> 2 grade_ii, Survival model    0.737         NA        NA      NA
#> 3 grade_iii, Survival model   0.641         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.86266           0.01449          -0.05730           0.89226  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    261.1 
#> Residual Deviance: 250.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.86266482       0.01449300      -0.05730324       0.89225810 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01009733       0.73670111       0.64097061 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.19548112 0.86668827 0.97867605 0.84320008 0.95983492 0.98953008
#>   [7] 0.86668827 0.94809627 0.76131330 0.30655821 0.76131330 0.76131330
#>  [13] 0.23911818 0.97497062 0.44772328 0.71079243 0.98953008 0.97123801
#>  [19] 0.94809627 0.98234352 0.89820650 0.98953008 0.27368479 0.76131330
#>  [25] 0.74320623 0.09890175 0.74320623 0.41691766 0.46151814 0.38073117
#>  [31] 0.93601407 0.71079243 0.73031205 0.46151814 0.76131330 0.76131330
#>  [37] 0.87588792 0.66729382 0.73682756 0.88934742 0.69684372 0.57861565
#>  [43] 0.61601902 0.60684409 0.82837877 0.84320008 0.88045205 0.96370370
#>  [49] 0.57861565 0.53455382 0.09890175 0.43312514 0.91959078 0.92787921
#>  [55] 0.76131330 0.86199379 0.88934742 0.71079243 0.82335657 0.95594892
#>  [61] 0.94409047 0.91107008 0.91533277 0.51111070 0.83334019 0.91959078
#>  [67] 0.76131330 0.74320623 0.53455382 0.66729382 0.88045205 0.62514212
#>  [73] 0.65142355 0.81318171 0.46151814 0.33397857 0.85728770 0.68232147
#>  [79] 0.81318171 0.89820650 0.38073117 0.93601407 0.35789441 0.80285863
#>  [85] 0.57861565 0.65142355 0.92787921 0.96370370 0.98234352 0.68966100
#>  [91] 0.64299997 0.56797532 0.46151814 0.63418508 0.51111070 0.53455382
#>  [97] 0.84320008 0.69684372 0.80285863 0.89820650 0.83827713 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   168    96    77    18   101   127  96.1   159   130    63 130.1 130.2    69 
#> 23.72 14.54  7.27 15.21  9.97  3.53 14.54 10.55 16.47 22.77 16.47 16.47 23.23 
#>   149    99    45 127.1    16 159.1    91    60 127.2   113 130.3   171    24 
#>  8.37 21.19 17.42  3.53  8.71 10.55  5.33 13.15  3.53 22.86 16.47 16.57 23.89 
#> 171.1   197    68   136    56  45.1    23  68.1 130.4 130.5    57   134   106 
#> 16.57 21.60 20.62 21.83 12.21 17.42 16.92 20.62 16.47 16.47 14.46 17.81 16.67 
#>    81    30    55     8    97   188  18.1    13   183    58   150  24.1   139 
#> 14.06 17.43 19.34 18.43 19.14 16.16 15.21 14.34  9.24 19.34 20.33 23.89 21.49 
#>    37    42 130.6   180  81.1  45.2    79   145    49   123    14   128   100 
#> 12.52 12.43 16.47 14.82 14.06 17.42 16.23 10.07 12.19 13.00 12.89 20.35 16.07 
#>  37.1 130.7 171.2 150.1 134.1  13.1    88    41    85  68.2   194   157   110 
#> 12.52 16.47 16.57 20.33 17.81 14.34 18.37 18.02 16.44 20.62 22.40 15.10 17.56 
#>   192  60.1 136.1  56.1    66   181  55.1  41.1  42.1 183.1  91.1   111    51 
#> 16.44 13.15 21.83 12.21 22.13 16.46 19.34 18.02 12.43  9.24  5.33 17.45 18.23 
#>   158  68.3   108 128.1 150.2  18.2  30.1 181.1  60.2     6    82   198   178 
#> 20.14 20.62 18.29 20.35 20.33 15.21 17.43 16.46 13.15 15.64 24.00 24.00 24.00 
#>    33    19   148   165   135    74    62    84   102   143    34   146  74.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   182   193   174     1    20   132    72   109   141   162   121     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.1    71   163   191 102.1   173 163.1   151 148.1   137    22   200   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104 121.1    47   185     2   196   119    28    94 151.1   112 121.2    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.1 138.1    95    53 191.1  62.1   160    35   186    31   176   2.1  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118    17  34.1  94.1 160.1    21    11  17.1  22.1 151.2 200.2  82.1  82.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.1 119.1     3  11.1 137.1  22.2 137.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[68]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005191936               0.560305244               0.290236258 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -1.1276061               0.0192017               0.3660168 
#>   grade_iii, Cure model 
#>               0.9246577 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 111   17.45      1  47        0         1
#> 195   11.76      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 10    10.53      1  34        0         0
#> 158   20.14      1  74        1         0
#> 42    12.43      1  49        0         1
#> 194   22.40      1  38        0         1
#> 123   13.00      1  44        1         0
#> 39    15.59      1  37        0         1
#> 107   11.18      1  54        1         0
#> 195.1 11.76      1  NA        1         0
#> 158.1 20.14      1  74        1         0
#> 36    21.19      1  48        0         1
#> 76    19.22      1  54        0         1
#> 45    17.42      1  54        0         1
#> 37    12.52      1  57        1         0
#> 5     16.43      1  51        0         1
#> 107.1 11.18      1  54        1         0
#> 175   21.91      1  43        0         0
#> 23    16.92      1  61        0         0
#> 32    20.90      1  37        1         0
#> 171   16.57      1  41        0         1
#> 177   12.53      1  75        0         0
#> 175.1 21.91      1  43        0         0
#> 36.1  21.19      1  48        0         1
#> 15    22.68      1  48        0         0
#> 110   17.56      1  65        0         1
#> 195.2 11.76      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 37.1  12.52      1  57        1         0
#> 133   14.65      1  57        0         0
#> 139   21.49      1  63        1         0
#> 49    12.19      1  48        1         0
#> 23.1  16.92      1  61        0         0
#> 149    8.37      1  33        1         0
#> 108   18.29      1  39        0         1
#> 195.3 11.76      1  NA        1         0
#> 76.1  19.22      1  54        0         1
#> 169   22.41      1  46        0         0
#> 25     6.32      1  34        1         0
#> 5.1   16.43      1  51        0         1
#> 192   16.44      1  31        1         0
#> 96    14.54      1  33        0         1
#> 177.1 12.53      1  75        0         0
#> 149.1  8.37      1  33        1         0
#> 50    10.02      1  NA        1         0
#> 39.1  15.59      1  37        0         1
#> 23.2  16.92      1  61        0         0
#> 63    22.77      1  31        1         0
#> 124    9.73      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 86    23.81      1  58        0         1
#> 155   13.08      1  26        0         0
#> 170   19.54      1  43        0         1
#> 136   21.83      1  43        0         1
#> 134.1 17.81      1  47        1         0
#> 79    16.23      1  54        1         0
#> 181   16.46      1  45        0         1
#> 157   15.10      1  47        0         0
#> 29    15.45      1  68        1         0
#> 175.2 21.91      1  43        0         0
#> 183    9.24      1  67        1         0
#> 106   16.67      1  49        1         0
#> 129   23.41      1  53        1         0
#> 96.1  14.54      1  33        0         1
#> 181.1 16.46      1  45        0         1
#> 42.1  12.43      1  49        0         1
#> 56    12.21      1  60        0         0
#> 58    19.34      1  39        0         0
#> 43    12.10      1  61        0         1
#> 189   10.51      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 36.2  21.19      1  48        0         1
#> 194.1 22.40      1  38        0         1
#> 66    22.13      1  53        0         0
#> 114   13.68      1  NA        0         0
#> 108.1 18.29      1  39        0         1
#> 183.1  9.24      1  67        1         0
#> 153   21.33      1  55        1         0
#> 179   18.63      1  42        0         0
#> 192.1 16.44      1  31        1         0
#> 36.3  21.19      1  48        0         1
#> 15.1  22.68      1  48        0         0
#> 175.3 21.91      1  43        0         0
#> 130   16.47      1  53        0         1
#> 92    22.92      1  47        0         1
#> 37.2  12.52      1  57        1         0
#> 91     5.33      1  61        0         1
#> 101    9.97      1  10        0         1
#> 155.1 13.08      1  26        0         0
#> 140   12.68      1  59        1         0
#> 166   19.98      1  48        0         0
#> 6     15.64      1  39        0         0
#> 111.1 17.45      1  47        0         1
#> 91.1   5.33      1  61        0         1
#> 114.1 13.68      1  NA        0         0
#> 157.1 15.10      1  47        0         0
#> 183.2  9.24      1  67        1         0
#> 111.2 17.45      1  47        0         1
#> 111.3 17.45      1  47        0         1
#> 10.1  10.53      1  34        0         0
#> 43.1  12.10      1  61        0         1
#> 96.2  14.54      1  33        0         1
#> 99    21.19      1  38        0         1
#> 39.2  15.59      1  37        0         1
#> 105   19.75      1  60        0         0
#> 90    20.94      1  50        0         1
#> 78    23.88      1  43        0         0
#> 14    12.89      1  21        0         0
#> 24    23.89      1  38        0         0
#> 107.2 11.18      1  54        1         0
#> 170.1 19.54      1  43        0         1
#> 83    24.00      0   6        0         0
#> 47    24.00      0  38        0         1
#> 46    24.00      0  71        0         0
#> 80    24.00      0  41        0         0
#> 131   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 173   24.00      0  19        0         1
#> 193   24.00      0  45        0         1
#> 84    24.00      0  39        0         1
#> 135   24.00      0  58        1         0
#> 173.1 24.00      0  19        0         1
#> 121   24.00      0  57        1         0
#> 80.1  24.00      0  41        0         0
#> 62    24.00      0  71        0         0
#> 196   24.00      0  19        0         0
#> 67    24.00      0  25        0         0
#> 131.1 24.00      0  66        0         0
#> 144   24.00      0  28        0         1
#> 3     24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 147   24.00      0  76        1         0
#> 74    24.00      0  43        0         1
#> 148   24.00      0  61        1         0
#> 62.1  24.00      0  71        0         0
#> 102   24.00      0  49        0         0
#> 121.1 24.00      0  57        1         0
#> 112   24.00      0  61        0         0
#> 67.1  24.00      0  25        0         0
#> 62.2  24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 73    24.00      0  NA        0         1
#> 21    24.00      0  47        0         0
#> 116   24.00      0  58        0         1
#> 143   24.00      0  51        0         0
#> 173.2 24.00      0  19        0         1
#> 137   24.00      0  45        1         0
#> 84.1  24.00      0  39        0         1
#> 34    24.00      0  36        0         0
#> 132   24.00      0  55        0         0
#> 98    24.00      0  34        1         0
#> 20    24.00      0  46        1         0
#> 144.1 24.00      0  28        0         1
#> 12    24.00      0  63        0         0
#> 11.1  24.00      0  42        0         1
#> 62.3  24.00      0  71        0         0
#> 75    24.00      0  21        1         0
#> 62.4  24.00      0  71        0         0
#> 87.1  24.00      0  27        0         0
#> 185   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 103   24.00      0  56        1         0
#> 46.1  24.00      0  71        0         0
#> 178   24.00      0  52        1         0
#> 38    24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 122   24.00      0  66        0         0
#> 11.2  24.00      0  42        0         1
#> 20.1  24.00      0  46        1         0
#> 74.1  24.00      0  43        0         1
#> 83.1  24.00      0   6        0         0
#> 176   24.00      0  43        0         1
#> 137.1 24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 35    24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 147.1 24.00      0  76        1         0
#> 148.1 24.00      0  61        1         0
#> 160.1 24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 146   24.00      0  63        1         0
#> 44    24.00      0  56        0         0
#> 143.1 24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 2     24.00      0   9        0         0
#> 71    24.00      0  51        0         0
#> 132.1 24.00      0  55        0         0
#> 11.3  24.00      0  42        0         1
#> 82    24.00      0  34        0         0
#> 17    24.00      0  38        0         1
#> 95    24.00      0  68        0         1
#> 144.2 24.00      0  28        0         1
#> 147.2 24.00      0  76        1         0
#> 75.1  24.00      0  21        1         0
#> 2.1   24.00      0   9        0         0
#> 82.1  24.00      0  34        0         0
#> 11.4  24.00      0  42        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.13          NA        NA      NA
#> 2 age, Cure model           0.0192        NA        NA      NA
#> 3 grade_ii, Cure model      0.366         NA        NA      NA
#> 4 grade_iii, Cure model     0.925         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00519        NA        NA      NA
#> 2 grade_ii, Survival model   0.560          NA        NA      NA
#> 3 grade_iii, Survival model  0.290          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.1276            0.0192            0.3660            0.9247  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 250.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.1276061        0.0192017        0.3660168        0.9246577 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005191936      0.560305244      0.290236258 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.59616500 0.73166860 0.93763170 0.46212212 0.88353761 0.24252700
#>   [7] 0.83264483 0.74567505 0.92010551 0.46212212 0.37838172 0.52736850
#>  [13] 0.62741691 0.86497766 0.71037658 0.92010551 0.28690240 0.63530321
#>  [19] 0.44139748 0.66601503 0.85218666 0.28690240 0.37838172 0.19357569
#>  [25] 0.58788078 0.45189971 0.86497766 0.79307604 0.35314207 0.90198130
#>  [31] 0.63530321 0.97215689 0.55394819 0.52736850 0.22601225 0.98337079
#>  [37] 0.71037658 0.69592947 0.79979415 0.85218666 0.97215689 0.74567505
#>  [43] 0.63530321 0.17573767 0.57122556 0.10589227 0.81949101 0.49997478
#>  [49] 0.33952190 0.57122556 0.72460895 0.68115826 0.77289618 0.76611292
#>  [55] 0.28690240 0.95517399 0.65835388 0.13380144 0.79979415 0.68115826
#>  [61] 0.88353761 0.89582957 0.51820717 0.90808116 0.78633827 0.37838172
#>  [67] 0.24252700 0.27200409 0.55394819 0.95517399 0.36605101 0.54506325
#>  [73] 0.69592947 0.37838172 0.19357569 0.28690240 0.67361899 0.15576033
#>  [79] 0.86497766 0.98895901 0.94932431 0.81949101 0.84572060 0.48104036
#>  [85] 0.73867927 0.59616500 0.98895901 0.77289618 0.95517399 0.59616500
#>  [91] 0.59616500 0.93763170 0.90808116 0.79979415 0.37838172 0.74567505
#>  [97] 0.49054096 0.43060720 0.07061729 0.83918565 0.03107257 0.92010551
#> [103] 0.49997478 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   111    26    10   158    42   194   123    39   107 158.1    36    76    45 
#> 17.45 15.77 10.53 20.14 12.43 22.40 13.00 15.59 11.18 20.14 21.19 19.22 17.42 
#>    37     5 107.1   175    23    32   171   177 175.1  36.1    15   110   190 
#> 12.52 16.43 11.18 21.91 16.92 20.90 16.57 12.53 21.91 21.19 22.68 17.56 20.81 
#>  37.1   133   139    49  23.1   149   108  76.1   169    25   5.1   192    96 
#> 12.52 14.65 21.49 12.19 16.92  8.37 18.29 19.22 22.41  6.32 16.43 16.44 14.54 
#> 177.1 149.1  39.1  23.2    63   134    86   155   170   136 134.1    79   181 
#> 12.53  8.37 15.59 16.92 22.77 17.81 23.81 13.08 19.54 21.83 17.81 16.23 16.46 
#>   157    29 175.2   183   106   129  96.1 181.1  42.1    56    58    43   180 
#> 15.10 15.45 21.91  9.24 16.67 23.41 14.54 16.46 12.43 12.21 19.34 12.10 14.82 
#>  36.2 194.1    66 108.1 183.1   153   179 192.1  36.3  15.1 175.3   130    92 
#> 21.19 22.40 22.13 18.29  9.24 21.33 18.63 16.44 21.19 22.68 21.91 16.47 22.92 
#>  37.2    91   101 155.1   140   166     6 111.1  91.1 157.1 183.2 111.2 111.3 
#> 12.52  5.33  9.97 13.08 12.68 19.98 15.64 17.45  5.33 15.10  9.24 17.45 17.45 
#>  10.1  43.1  96.2    99  39.2   105    90    78    14    24 107.2 170.1    83 
#> 10.53 12.10 14.54 21.19 15.59 19.75 20.94 23.88 12.89 23.89 11.18 19.54 24.00 
#>    47    46    80   131    87   173   193    84   135 173.1   121  80.1    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196    67 131.1   144     3    11   147    74   148  62.1   102 121.1   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1  62.2    21   116   143 173.2   137  84.1    34   132    98    20 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12  11.1  62.3    75  62.4  87.1   185    72   103  46.1   178    38   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160     1   122  11.2  20.1  74.1  83.1   176 137.1   151    35   109 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1 160.1 193.1   146    44 143.1   119     2    71 132.1  11.3    82    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95 144.2 147.2  75.1   2.1  82.1  11.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[69]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01626354                0.81763077                0.61595191 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.66982039              0.01372424             -0.01248633 
#>   grade_iii, Cure model 
#>              0.82411843 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 89    11.44      1  NA        0         0
#> 10    10.53      1  34        0         0
#> 189   10.51      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 167   15.55      1  56        1         0
#> 188   16.16      1  46        0         1
#> 42    12.43      1  49        0         1
#> 114   13.68      1  NA        0         0
#> 81    14.06      1  34        0         0
#> 175   21.91      1  43        0         0
#> 153   21.33      1  55        1         0
#> 76    19.22      1  54        0         1
#> 36    21.19      1  48        0         1
#> 171   16.57      1  41        0         1
#> 150   20.33      1  48        0         0
#> 77     7.27      1  67        0         1
#> 179   18.63      1  42        0         0
#> 110   17.56      1  65        0         1
#> 101    9.97      1  10        0         1
#> 130   16.47      1  53        0         1
#> 183    9.24      1  67        1         0
#> 105   19.75      1  60        0         0
#> 164   23.60      1  76        0         1
#> 150.1 20.33      1  48        0         0
#> 110.1 17.56      1  65        0         1
#> 128   20.35      1  35        0         1
#> 52    10.42      1  52        0         1
#> 52.1  10.42      1  52        0         1
#> 190   20.81      1  42        1         0
#> 91     5.33      1  61        0         1
#> 41.1  18.02      1  40        1         0
#> 168   23.72      1  70        0         0
#> 170   19.54      1  43        0         1
#> 57    14.46      1  45        0         1
#> 154   12.63      1  20        1         0
#> 125   15.65      1  67        1         0
#> 96    14.54      1  33        0         1
#> 164.1 23.60      1  76        0         1
#> 158   20.14      1  74        1         0
#> 184   17.77      1  38        0         0
#> 114.1 13.68      1  NA        0         0
#> 166   19.98      1  48        0         0
#> 39    15.59      1  37        0         1
#> 169   22.41      1  46        0         0
#> 66    22.13      1  53        0         0
#> 177   12.53      1  75        0         0
#> 127    3.53      1  62        0         1
#> 167.1 15.55      1  56        1         0
#> 4     17.64      1  NA        0         1
#> 166.1 19.98      1  48        0         0
#> 30    17.43      1  78        0         0
#> 41.2  18.02      1  40        1         0
#> 175.1 21.91      1  43        0         0
#> 61    10.12      1  36        0         1
#> 159   10.55      1  50        0         1
#> 190.1 20.81      1  42        1         0
#> 158.1 20.14      1  74        1         0
#> 107   11.18      1  54        1         0
#> 41.3  18.02      1  40        1         0
#> 166.2 19.98      1  48        0         0
#> 192   16.44      1  31        1         0
#> 192.1 16.44      1  31        1         0
#> 175.2 21.91      1  43        0         0
#> 4.1   17.64      1  NA        0         1
#> 154.1 12.63      1  20        1         0
#> 190.2 20.81      1  42        1         0
#> 86    23.81      1  58        0         1
#> 4.2   17.64      1  NA        0         1
#> 197   21.60      1  69        1         0
#> 23    16.92      1  61        0         0
#> 139   21.49      1  63        1         0
#> 168.1 23.72      1  70        0         0
#> 14    12.89      1  21        0         0
#> 150.2 20.33      1  48        0         0
#> 24    23.89      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 92    22.92      1  47        0         1
#> 14.1  12.89      1  21        0         0
#> 136   21.83      1  43        0         1
#> 49    12.19      1  48        1         0
#> 107.1 11.18      1  54        1         0
#> 58    19.34      1  39        0         0
#> 43    12.10      1  61        0         1
#> 49.1  12.19      1  48        1         0
#> 167.2 15.55      1  56        1         0
#> 105.1 19.75      1  60        0         0
#> 66.1  22.13      1  53        0         0
#> 180   14.82      1  37        0         0
#> 26    15.77      1  49        0         1
#> 90    20.94      1  50        0         1
#> 157   15.10      1  47        0         0
#> 36.1  21.19      1  48        0         1
#> 192.2 16.44      1  31        1         0
#> 108   18.29      1  39        0         1
#> 140   12.68      1  59        1         0
#> 180.1 14.82      1  37        0         0
#> 50    10.02      1  NA        1         0
#> 171.1 16.57      1  41        0         1
#> 123   13.00      1  44        1         0
#> 117   17.46      1  26        0         1
#> 78    23.88      1  43        0         0
#> 55    19.34      1  69        0         1
#> 49.2  12.19      1  48        1         0
#> 8     18.43      1  32        0         0
#> 42.1  12.43      1  49        0         1
#> 56    12.21      1  60        0         0
#> 86.1  23.81      1  58        0         1
#> 93    10.33      1  52        0         1
#> 60    13.15      1  38        1         0
#> 127.1  3.53      1  62        0         1
#> 190.3 20.81      1  42        1         0
#> 187    9.92      1  39        1         0
#> 73    24.00      0  NA        0         1
#> 186   24.00      0  45        1         0
#> 1     24.00      0  23        1         0
#> 34    24.00      0  36        0         0
#> 64    24.00      0  43        0         0
#> 84    24.00      0  39        0         1
#> 82    24.00      0  34        0         0
#> 38    24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 146   24.00      0  63        1         0
#> 144   24.00      0  28        0         1
#> 17    24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 160   24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 196   24.00      0  19        0         0
#> 137   24.00      0  45        1         0
#> 19    24.00      0  57        0         1
#> 122   24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 200   24.00      0  64        0         0
#> 191   24.00      0  60        0         1
#> 82.1  24.00      0  34        0         0
#> 143.1 24.00      0  51        0         0
#> 38.1  24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 54    24.00      0  53        1         0
#> 152   24.00      0  36        0         1
#> 122.1 24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 143.2 24.00      0  51        0         0
#> 143.3 24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 94    24.00      0  51        0         1
#> 94.1  24.00      0  51        0         1
#> 137.1 24.00      0  45        1         0
#> 12    24.00      0  63        0         0
#> 118   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 82.2  24.00      0  34        0         0
#> 137.2 24.00      0  45        1         0
#> 182   24.00      0  35        0         0
#> 7.1   24.00      0  37        1         0
#> 118.1 24.00      0  44        1         0
#> 38.2  24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 138   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 156   24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 178   24.00      0  52        1         0
#> 64.1  24.00      0  43        0         0
#> 112   24.00      0  61        0         0
#> 174.1 24.00      0  49        1         0
#> 3     24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 48    24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 83    24.00      0   6        0         0
#> 185   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 173   24.00      0  19        0         1
#> 9     24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 165   24.00      0  47        0         0
#> 163   24.00      0  66        0         0
#> 62.1  24.00      0  71        0         0
#> 31.1  24.00      0  36        0         1
#> 62.2  24.00      0  71        0         0
#> 115.1 24.00      0  NA        1         0
#> 71    24.00      0  51        0         0
#> 31.2  24.00      0  36        0         1
#> 122.2 24.00      0  66        0         0
#> 132.1 24.00      0  55        0         0
#> 53.1  24.00      0  32        0         1
#> 112.1 24.00      0  61        0         0
#> 80.1  24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 160.1 24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 84.1  24.00      0  39        0         1
#> 38.3  24.00      0  31        1         0
#> 38.4  24.00      0  31        1         0
#> 131.1 24.00      0  66        0         0
#> 186.1 24.00      0  45        1         0
#> 54.1  24.00      0  53        1         0
#> 138.1 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.670         NA        NA      NA
#> 2 age, Cure model           0.0137        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0125        NA        NA      NA
#> 4 grade_iii, Cure model     0.824         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0163        NA        NA      NA
#> 2 grade_ii, Survival model    0.818         NA        NA      NA
#> 3 grade_iii, Survival model   0.616         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.66982           0.01372          -0.01249           0.82412  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 252.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.66982039       0.01372424      -0.01248633       0.82411843 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01626354       0.81763077       0.61595191 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8567244807 0.3293674250 0.5461039496 0.5015765161 0.7402156121
#>   [6] 0.6363216279 0.0488659653 0.0941290674 0.2862754126 0.1024536507
#>  [11] 0.4354967634 0.1655538969 0.9519939155 0.2968277448 0.3806684200
#>  [16] 0.9163368581 0.4578102019 0.9400945824 0.2357984941 0.0170082416
#>  [21] 0.1655538969 0.3806684200 0.1574566738 0.8686147858 0.8686147858
#>  [26] 0.1274138020 0.9639496346 0.3293674250 0.0098437901 0.2555992197
#>  [31] 0.6247874658 0.7059156122 0.5237655565 0.6132765657 0.0170082416
#>  [36] 0.1905732745 0.3699381415 0.2081454690 0.5349364164 0.0310309176
#>  [41] 0.0365899181 0.7286368103 0.9759520212 0.5461039496 0.2081454690
#>  [46] 0.4131336614 0.3293674250 0.0488659653 0.9043534961 0.8449038608
#>  [51] 0.1274138020 0.1905732745 0.8214862315 0.3293674250 0.2081454690
#>  [56] 0.4691674083 0.4691674083 0.0488659653 0.7059156122 0.1274138020
#>  [61] 0.0050725791 0.0777357703 0.4242224974 0.0858590348 0.0098437901
#>  [66] 0.6710790578 0.1655538969 0.0004204898 0.0004204898 0.0259522157
#>  [71] 0.6710790578 0.0698299492 0.7750586992 0.8214862315 0.2657312063
#>  [76] 0.8097126619 0.7750586992 0.5461039496 0.2357984941 0.0365899181
#>  [81] 0.5904358080 0.5126511601 0.1188183656 0.5791030192 0.1024536507
#>  [86] 0.4691674083 0.3184648542 0.6942207064 0.5904358080 0.4354967634
#>  [91] 0.6595230655 0.4022547088 0.0026882922 0.2657312063 0.7750586992
#>  [96] 0.3075690930 0.7402156121 0.7633108101 0.0050725791 0.8923652227
#> [101] 0.6479452869 0.9759520212 0.1274138020 0.9282310148 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    10    41   167   188    42    81   175   153    76    36   171   150    77 
#> 10.53 18.02 15.55 16.16 12.43 14.06 21.91 21.33 19.22 21.19 16.57 20.33  7.27 
#>   179   110   101   130   183   105   164 150.1 110.1   128    52  52.1   190 
#> 18.63 17.56  9.97 16.47  9.24 19.75 23.60 20.33 17.56 20.35 10.42 10.42 20.81 
#>    91  41.1   168   170    57   154   125    96 164.1   158   184   166    39 
#>  5.33 18.02 23.72 19.54 14.46 12.63 15.65 14.54 23.60 20.14 17.77 19.98 15.59 
#>   169    66   177   127 167.1 166.1    30  41.2 175.1    61   159 190.1 158.1 
#> 22.41 22.13 12.53  3.53 15.55 19.98 17.43 18.02 21.91 10.12 10.55 20.81 20.14 
#>   107  41.3 166.2   192 192.1 175.2 154.1 190.2    86   197    23   139 168.1 
#> 11.18 18.02 19.98 16.44 16.44 21.91 12.63 20.81 23.81 21.60 16.92 21.49 23.72 
#>    14 150.2    24  24.1    92  14.1   136    49 107.1    58    43  49.1 167.2 
#> 12.89 20.33 23.89 23.89 22.92 12.89 21.83 12.19 11.18 19.34 12.10 12.19 15.55 
#> 105.1  66.1   180    26    90   157  36.1 192.2   108   140 180.1 171.1   123 
#> 19.75 22.13 14.82 15.77 20.94 15.10 21.19 16.44 18.29 12.68 14.82 16.57 13.00 
#>   117    78    55  49.2     8  42.1    56  86.1    93    60 127.1 190.3   187 
#> 17.46 23.88 19.34 12.19 18.43 12.43 12.21 23.81 10.33 13.15  3.53 20.81  9.92 
#>   186     1    34    64    84    82    38   143   103   146   144    17     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160    53   196   137    19   122   121   200   191  82.1 143.1  38.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54   152 122.1    87 143.2 143.3    94  94.1 137.1    12   118   131  82.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.2   182   7.1 118.1  38.2    80   138   132   156    95   178  64.1   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1     3    27    48    62    83   185   148   173     9    31   165   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.1  31.1  62.2    71  31.2 122.2 132.1  53.1 112.1  80.1   198 160.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.1  38.3  38.4 131.1 186.1  54.1 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[70]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01605113                0.43254089                0.59768529 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.63119995              0.01087944              0.34555008 
#>   grade_iii, Cure model 
#>              0.58286571 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 199   19.81      1  NA        0         1
#> 107   11.18      1  54        1         0
#> 181   16.46      1  45        0         1
#> 150   20.33      1  48        0         0
#> 180   14.82      1  37        0         0
#> 189   10.51      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 113   22.86      1  34        0         0
#> 187    9.92      1  39        1         0
#> 150.1 20.33      1  48        0         0
#> 168   23.72      1  70        0         0
#> 149    8.37      1  33        1         0
#> 68    20.62      1  44        0         0
#> 88    18.37      1  47        0         0
#> 127    3.53      1  62        0         1
#> 124    9.73      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 45    17.42      1  54        0         1
#> 63    22.77      1  31        1         0
#> 89    11.44      1  NA        0         0
#> 192   16.44      1  31        1         0
#> 68.1  20.62      1  44        0         0
#> 30    17.43      1  78        0         0
#> 140   12.68      1  59        1         0
#> 42    12.43      1  49        0         1
#> 159.1 10.55      1  50        0         1
#> 164   23.60      1  76        0         1
#> 179   18.63      1  42        0         0
#> 140.1 12.68      1  59        1         0
#> 81    14.06      1  34        0         0
#> 154   12.63      1  20        1         0
#> 134   17.81      1  47        1         0
#> 97    19.14      1  65        0         1
#> 30.1  17.43      1  78        0         0
#> 92    22.92      1  47        0         1
#> 179.1 18.63      1  42        0         0
#> 129   23.41      1  53        1         0
#> 127.1  3.53      1  62        0         1
#> 127.2  3.53      1  62        0         1
#> 5     16.43      1  51        0         1
#> 168.1 23.72      1  70        0         0
#> 66    22.13      1  53        0         0
#> 100   16.07      1  60        0         0
#> 51    18.23      1  83        0         1
#> 107.1 11.18      1  54        1         0
#> 175   21.91      1  43        0         0
#> 63.1  22.77      1  31        1         0
#> 127.3  3.53      1  62        0         1
#> 149.1  8.37      1  33        1         0
#> 123   13.00      1  44        1         0
#> 70     7.38      1  30        1         0
#> 184   17.77      1  38        0         0
#> 140.2 12.68      1  59        1         0
#> 129.1 23.41      1  53        1         0
#> 180.1 14.82      1  37        0         0
#> 189.1 10.51      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 183    9.24      1  67        1         0
#> 153   21.33      1  55        1         0
#> 140.3 12.68      1  59        1         0
#> 32    20.90      1  37        1         0
#> 56    12.21      1  60        0         0
#> 134.1 17.81      1  47        1         0
#> 41    18.02      1  40        1         0
#> 51.1  18.23      1  83        0         1
#> 14    12.89      1  21        0         0
#> 153.1 21.33      1  55        1         0
#> 159.2 10.55      1  50        0         1
#> 13    14.34      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 91     5.33      1  61        0         1
#> 37    12.52      1  57        1         0
#> 61    10.12      1  36        0         1
#> 123.1 13.00      1  44        1         0
#> 111   17.45      1  47        0         1
#> 164.1 23.60      1  76        0         1
#> 13.1  14.34      1  54        0         1
#> 58    19.34      1  39        0         0
#> 190   20.81      1  42        1         0
#> 170   19.54      1  43        0         1
#> 13.2  14.34      1  54        0         1
#> 128   20.35      1  35        0         1
#> 8     18.43      1  32        0         0
#> 39    15.59      1  37        0         1
#> 45.1  17.42      1  54        0         1
#> 10    10.53      1  34        0         0
#> 149.2  8.37      1  33        1         0
#> 181.1 16.46      1  45        0         1
#> 63.2  22.77      1  31        1         0
#> 97.1  19.14      1  65        0         1
#> 168.2 23.72      1  70        0         0
#> 23    16.92      1  61        0         0
#> 157   15.10      1  47        0         0
#> 10.1  10.53      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 4.1   17.64      1  NA        0         1
#> 101    9.97      1  10        0         1
#> 145   10.07      1  65        1         0
#> 42.1  12.43      1  49        0         1
#> 149.3  8.37      1  33        1         0
#> 51.2  18.23      1  83        0         1
#> 183.1  9.24      1  67        1         0
#> 90    20.94      1  50        0         1
#> 26    15.77      1  49        0         1
#> 76    19.22      1  54        0         1
#> 70.1   7.38      1  30        1         0
#> 105   19.75      1  60        0         0
#> 184.1 17.77      1  38        0         0
#> 145.1 10.07      1  65        1         0
#> 29    15.45      1  68        1         0
#> 44    24.00      0  56        0         0
#> 17    24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 131   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 74    24.00      0  43        0         1
#> 48    24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 27    24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 53    24.00      0  32        0         1
#> 95.1  24.00      0  68        0         1
#> 165   24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 74.1  24.00      0  43        0         1
#> 103   24.00      0  56        1         0
#> 118   24.00      0  44        1         0
#> 115.1 24.00      0  NA        1         0
#> 35    24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 137   24.00      0  45        1         0
#> 172   24.00      0  41        0         0
#> 116.1 24.00      0  58        0         1
#> 186   24.00      0  45        1         0
#> 82    24.00      0  34        0         0
#> 147   24.00      0  76        1         0
#> 131.1 24.00      0  66        0         0
#> 144   24.00      0  28        0         1
#> 132   24.00      0  55        0         0
#> 67    24.00      0  25        0         0
#> 116.2 24.00      0  58        0         1
#> 147.1 24.00      0  76        1         0
#> 137.1 24.00      0  45        1         0
#> 137.2 24.00      0  45        1         0
#> 121   24.00      0  57        1         0
#> 185.1 24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 73    24.00      0  NA        0         1
#> 73.1  24.00      0  NA        0         1
#> 191   24.00      0  60        0         1
#> 193   24.00      0  45        0         1
#> 48.1  24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 67.1  24.00      0  25        0         0
#> 191.1 24.00      0  60        0         1
#> 122   24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 87.1  24.00      0  27        0         0
#> 54    24.00      0  53        1         0
#> 34    24.00      0  36        0         0
#> 165.1 24.00      0  47        0         0
#> 27.1  24.00      0  63        1         0
#> 84    24.00      0  39        0         1
#> 74.2  24.00      0  43        0         1
#> 9     24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 71    24.00      0  51        0         0
#> 126.1 24.00      0  48        0         0
#> 94    24.00      0  51        0         1
#> 176   24.00      0  43        0         1
#> 138.1 24.00      0  44        1         0
#> 48.2  24.00      0  31        1         0
#> 95.2  24.00      0  68        0         1
#> 103.1 24.00      0  56        1         0
#> 35.1  24.00      0  51        0         0
#> 118.1 24.00      0  44        1         0
#> 83.1  24.00      0   6        0         0
#> 191.2 24.00      0  60        0         1
#> 33    24.00      0  53        0         0
#> 34.1  24.00      0  36        0         0
#> 161   24.00      0  45        0         0
#> 178   24.00      0  52        1         0
#> 62.1  24.00      0  71        0         0
#> 163   24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 119   24.00      0  17        0         0
#> 162   24.00      0  51        0         0
#> 198   24.00      0  66        0         1
#> 84.1  24.00      0  39        0         1
#> 161.1 24.00      0  45        0         0
#> 75    24.00      0  21        1         0
#> 21    24.00      0  47        0         0
#> 186.1 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.631         NA        NA      NA
#> 2 age, Cure model           0.0109        NA        NA      NA
#> 3 grade_ii, Cure model      0.346         NA        NA      NA
#> 4 grade_iii, Cure model     0.583         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0161        NA        NA      NA
#> 2 grade_ii, Survival model    0.433         NA        NA      NA
#> 3 grade_iii, Survival model   0.598         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.63120           0.01088           0.34555           0.58287  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.1 
#> Residual Deviance: 251.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.63119995       0.01087944       0.34555008       0.58286571 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01605113       0.43254089       0.59768529 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6591587397 0.3391187602 0.0948559974 0.4387898391 0.0205101428
#>   [6] 0.8061814558 0.0948559974 0.0001553131 0.8474732285 0.0760552183
#>  [11] 0.1769540052 0.9439292342 0.6853742195 0.3075022284 0.0252610769
#>  [16] 0.3605272034 0.0760552183 0.2870107197 0.5457164486 0.6205705713
#>  [21] 0.6853742195 0.0033653488 0.1526462678 0.5457164486 0.4971233087
#>  [26] 0.5950560283 0.2296244693 0.1374613703 0.2870107197 0.0161831448
#>  [31] 0.1526462678 0.0089323677 0.9439292342 0.9439292342 0.3714159262
#>  [36] 0.0001553131 0.0374662761 0.3823683142 0.1940792454 0.6591587397
#>  [41] 0.0424298272 0.0252610769 0.9439292342 0.8474732285 0.5092221177
#>  [46] 0.9020919077 0.2480978366 0.5457164486 0.0089323677 0.4387898391
#>  [51] 0.2672217846 0.8198771028 0.0477011706 0.5457164486 0.0642525819
#>  [56] 0.6461028282 0.2296244693 0.2204029661 0.1940792454 0.5334043175
#>  [61] 0.0477011706 0.6853742195 0.4620532818 0.9298685254 0.6077620596
#>  [66] 0.7516303640 0.5092221177 0.2770906112 0.0033653488 0.4620532818
#>  [71] 0.1225486372 0.0701004743 0.1153453824 0.4620532818 0.0884445448
#>  [76] 0.1686106888 0.4047226716 0.3075022284 0.7247337852 0.8474732285
#>  [81] 0.3391187602 0.0252610769 0.1374613703 0.0001553131 0.3283214354
#>  [86] 0.4272769162 0.7247337852 0.1855110755 0.7925266154 0.7651962625
#>  [91] 0.6205705713 0.8474732285 0.1940792454 0.8198771028 0.0584832368
#>  [96] 0.3935181717 0.1299544964 0.9020919077 0.1081817900 0.2480978366
#> [101] 0.7651962625 0.4159260126 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000
#> 
#> $Time
#>   107   181   150   180   113   187 150.1   168   149    68    88   127   159 
#> 11.18 16.46 20.33 14.82 22.86  9.92 20.33 23.72  8.37 20.62 18.37  3.53 10.55 
#>    45    63   192  68.1    30   140    42 159.1   164   179 140.1    81   154 
#> 17.42 22.77 16.44 20.62 17.43 12.68 12.43 10.55 23.60 18.63 12.68 14.06 12.63 
#>   134    97  30.1    92 179.1   129 127.1 127.2     5 168.1    66   100    51 
#> 17.81 19.14 17.43 22.92 18.63 23.41  3.53  3.53 16.43 23.72 22.13 16.07 18.23 
#> 107.1   175  63.1 127.3 149.1   123    70   184 140.2 129.1 180.1   110   183 
#> 11.18 21.91 22.77  3.53  8.37 13.00  7.38 17.77 12.68 23.41 14.82 17.56  9.24 
#>   153 140.3    32    56 134.1    41  51.1    14 153.1 159.2    13    91    37 
#> 21.33 12.68 20.90 12.21 17.81 18.02 18.23 12.89 21.33 10.55 14.34  5.33 12.52 
#>    61 123.1   111 164.1  13.1    58   190   170  13.2   128     8    39  45.1 
#> 10.12 13.00 17.45 23.60 14.34 19.34 20.81 19.54 14.34 20.35 18.43 15.59 17.42 
#>    10 149.2 181.1  63.2  97.1 168.2    23   157  10.1   108   101   145  42.1 
#> 10.53  8.37 16.46 22.77 19.14 23.72 16.92 15.10 10.53 18.29  9.97 10.07 12.43 
#> 149.3  51.2 183.1    90    26    76  70.1   105 184.1 145.1    29    44    17 
#>  8.37 18.23  9.24 20.94 15.77 19.22  7.38 19.75 17.77 10.07 15.45 24.00 24.00 
#>   138    95   200   131   185   151    74    48     7    27   116    53  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165  74.1   103   118    35    87   137   172 116.1   186    82   147 131.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144   132    67 116.2 147.1 137.1 137.2   121 185.1   141    62   191   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1    80    83  67.1 191.1   122   126  87.1    54    34 165.1  27.1    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.2     9   173    71 126.1    94   176 138.1  48.2  95.2 103.1  35.1 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.1 191.2    33  34.1   161   178  62.1   163   148   119   162   198  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1    75    21 186.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[71]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.00584286                0.19985152                0.27982460 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.127773711            -0.001875895             0.404985021 
#>   grade_iii, Cure model 
#>             0.963420790 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 110   17.56      1  65        0         1
#> 150   20.33      1  48        0         0
#> 40    18.00      1  28        1         0
#> 99    21.19      1  38        0         1
#> 108   18.29      1  39        0         1
#> 167   15.55      1  56        1         0
#> 123   13.00      1  44        1         0
#> 128   20.35      1  35        0         1
#> 158   20.14      1  74        1         0
#> 177   12.53      1  75        0         0
#> 181   16.46      1  45        0         1
#> 170   19.54      1  43        0         1
#> 92    22.92      1  47        0         1
#> 166   19.98      1  48        0         0
#> 187    9.92      1  39        1         0
#> 140   12.68      1  59        1         0
#> 101    9.97      1  10        0         1
#> 81    14.06      1  34        0         0
#> 179   18.63      1  42        0         0
#> 6     15.64      1  39        0         0
#> 150.1 20.33      1  48        0         0
#> 164   23.60      1  76        0         1
#> 63    22.77      1  31        1         0
#> 13    14.34      1  54        0         1
#> 39    15.59      1  37        0         1
#> 100   16.07      1  60        0         0
#> 171   16.57      1  41        0         1
#> 79    16.23      1  54        1         0
#> 181.1 16.46      1  45        0         1
#> 190   20.81      1  42        1         0
#> 99.1  21.19      1  38        0         1
#> 81.1  14.06      1  34        0         0
#> 10    10.53      1  34        0         0
#> 63.1  22.77      1  31        1         0
#> 123.1 13.00      1  44        1         0
#> 41    18.02      1  40        1         0
#> 169   22.41      1  46        0         0
#> 4     17.64      1  NA        0         1
#> 49    12.19      1  48        1         0
#> 10.1  10.53      1  34        0         0
#> 6.1   15.64      1  39        0         0
#> 169.1 22.41      1  46        0         0
#> 91     5.33      1  61        0         1
#> 199   19.81      1  NA        0         1
#> 77     7.27      1  67        0         1
#> 167.1 15.55      1  56        1         0
#> 24    23.89      1  38        0         0
#> 183    9.24      1  67        1         0
#> 49.1  12.19      1  48        1         0
#> 13.1  14.34      1  54        0         1
#> 110.1 17.56      1  65        0         1
#> 16     8.71      1  71        0         1
#> 40.1  18.00      1  28        1         0
#> 192   16.44      1  31        1         0
#> 50    10.02      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 127    3.53      1  62        0         1
#> 101.1  9.97      1  10        0         1
#> 41.1  18.02      1  40        1         0
#> 97    19.14      1  65        0         1
#> 184   17.77      1  38        0         0
#> 52    10.42      1  52        0         1
#> 100.1 16.07      1  60        0         0
#> 55    19.34      1  69        0         1
#> 153   21.33      1  55        1         0
#> 16.1   8.71      1  71        0         1
#> 127.1  3.53      1  62        0         1
#> 123.2 13.00      1  44        1         0
#> 43    12.10      1  61        0         1
#> 18    15.21      1  49        1         0
#> 26    15.77      1  49        0         1
#> 55.1  19.34      1  69        0         1
#> 181.2 16.46      1  45        0         1
#> 139   21.49      1  63        1         0
#> 183.1  9.24      1  67        1         0
#> 155   13.08      1  26        0         0
#> 96    14.54      1  33        0         1
#> 124    9.73      1  NA        1         0
#> 108.1 18.29      1  39        0         1
#> 81.2  14.06      1  34        0         0
#> 113   22.86      1  34        0         0
#> 4.1   17.64      1  NA        0         1
#> 127.2  3.53      1  62        0         1
#> 57    14.46      1  45        0         1
#> 88    18.37      1  47        0         0
#> 127.3  3.53      1  62        0         1
#> 18.1  15.21      1  49        1         0
#> 190.1 20.81      1  42        1         0
#> 155.1 13.08      1  26        0         0
#> 76    19.22      1  54        0         1
#> 140.1 12.68      1  59        1         0
#> 177.1 12.53      1  75        0         0
#> 76.1  19.22      1  54        0         1
#> 145   10.07      1  65        1         0
#> 10.2  10.53      1  34        0         0
#> 25     6.32      1  34        1         0
#> 23    16.92      1  61        0         0
#> 58    19.34      1  39        0         0
#> 140.2 12.68      1  59        1         0
#> 179.1 18.63      1  42        0         0
#> 59    10.16      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 36    21.19      1  48        0         1
#> 15    22.68      1  48        0         0
#> 93    10.33      1  52        0         1
#> 52.1  10.42      1  52        0         1
#> 128.1 20.35      1  35        0         1
#> 32    20.90      1  37        1         0
#> 187.1  9.92      1  39        1         0
#> 197   21.60      1  69        1         0
#> 63.2  22.77      1  31        1         0
#> 190.2 20.81      1  42        1         0
#> 54    24.00      0  53        1         0
#> 34    24.00      0  36        0         0
#> 185   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 31    24.00      0  36        0         1
#> 161   24.00      0  45        0         0
#> 109   24.00      0  48        0         0
#> 148   24.00      0  61        1         0
#> 193   24.00      0  45        0         1
#> 82    24.00      0  34        0         0
#> 21    24.00      0  47        0         0
#> 83    24.00      0   6        0         0
#> 116   24.00      0  58        0         1
#> 35    24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 19    24.00      0  57        0         1
#> 34.1  24.00      0  36        0         0
#> 178   24.00      0  52        1         0
#> 182   24.00      0  35        0         0
#> 31.1  24.00      0  36        0         1
#> 151   24.00      0  42        0         0
#> 112   24.00      0  61        0         0
#> 47    24.00      0  38        0         1
#> 185.1 24.00      0  44        1         0
#> 21.1  24.00      0  47        0         0
#> 21.2  24.00      0  47        0         0
#> 46    24.00      0  71        0         0
#> 27    24.00      0  63        1         0
#> 131   24.00      0  66        0         0
#> 44    24.00      0  56        0         0
#> 67    24.00      0  25        0         0
#> 174   24.00      0  49        1         0
#> 73    24.00      0  NA        0         1
#> 46.1  24.00      0  71        0         0
#> 9     24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 22    24.00      0  52        1         0
#> 75    24.00      0  21        1         0
#> 44.1  24.00      0  56        0         0
#> 198   24.00      0  66        0         1
#> 31.2  24.00      0  36        0         1
#> 104   24.00      0  50        1         0
#> 27.1  24.00      0  63        1         0
#> 161.1 24.00      0  45        0         0
#> 34.2  24.00      0  36        0         0
#> 21.3  24.00      0  47        0         0
#> 156   24.00      0  50        1         0
#> 35.1  24.00      0  51        0         0
#> 9.1   24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 17    24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 71.1  24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 147   24.00      0  76        1         0
#> 174.1 24.00      0  49        1         0
#> 82.1  24.00      0  34        0         0
#> 148.1 24.00      0  61        1         0
#> 178.1 24.00      0  52        1         0
#> 152   24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 98.1  24.00      0  34        1         0
#> 11.1  24.00      0  42        0         1
#> 176   24.00      0  43        0         1
#> 74    24.00      0  43        0         1
#> 191   24.00      0  60        0         1
#> 191.1 24.00      0  60        0         1
#> 122   24.00      0  66        0         0
#> 54.1  24.00      0  53        1         0
#> 7     24.00      0  37        1         0
#> 115.1 24.00      0  NA        1         0
#> 62.1  24.00      0  71        0         0
#> 7.1   24.00      0  37        1         0
#> 118   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 46.2  24.00      0  71        0         0
#> 142   24.00      0  53        0         0
#> 98.2  24.00      0  34        1         0
#> 95    24.00      0  68        0         1
#> 21.4  24.00      0  47        0         0
#> 193.1 24.00      0  45        0         1
#> 186   24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 162   24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.128          NA        NA      NA
#> 2 age, Cure model         -0.00188        NA        NA      NA
#> 3 grade_ii, Cure model     0.405          NA        NA      NA
#> 4 grade_iii, Cure model    0.963          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00584        NA        NA      NA
#> 2 grade_ii, Survival model   0.200          NA        NA      NA
#> 3 grade_iii, Survival model  0.280          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.127774         -0.001876          0.404985          0.963421  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.5 
#> Residual Deviance: 255.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.127773711     -0.001875895      0.404985021      0.963420790 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.00584286       0.19985152       0.27982460 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.58612790 0.38634413 0.56146630 0.28669509 0.51908368 0.70054120
#>   [7] 0.79160308 0.36531943 0.40700519 0.83167325 0.61797157 0.42739076
#>  [13] 0.09773588 0.41723827 0.92165620 0.81181709 0.90911672 0.75728983
#>  [19] 0.49249767 0.67843434 0.38634413 0.07225836 0.13972207 0.74342703
#>  [25] 0.69317953 0.65602705 0.61005955 0.64843463 0.61797157 0.33310342
#>  [31] 0.28669509 0.75728983 0.86440313 0.13972207 0.79160308 0.54483197
#>  [37] 0.20122634 0.84484815 0.86440313 0.67843434 0.20122634 0.97068443
#>  [43] 0.95858000 0.70054120 0.03243881 0.93410527 0.84484815 0.74342703
#>  [49] 0.58612790 0.94642199 0.56146630 0.64078179 0.53630801 0.97669407
#>  [55] 0.90911672 0.54483197 0.48347330 0.57788746 0.88367836 0.65602705
#>  [61] 0.43737704 0.27351163 0.94642199 0.97669407 0.79160308 0.85789758
#>  [67] 0.71497776 0.67097957 0.43737704 0.61797157 0.25987890 0.93410527
#>  [73] 0.77786502 0.72923412 0.51908368 0.75728983 0.11912940 0.97669407
#>  [79] 0.73635522 0.51020232 0.97669407 0.71497776 0.33310342 0.77786502
#>  [85] 0.46527881 0.81181709 0.83167325 0.46527881 0.90278997 0.86440313
#>  [91] 0.96464151 0.60207703 0.43737704 0.81181709 0.49249767 0.23076159
#>  [97] 0.28669509 0.18511999 0.89642820 0.88367836 0.36531943 0.32133976
#> [103] 0.92165620 0.24567680 0.13972207 0.33310342 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   110   150    40    99   108   167   123   128   158   177   181   170    92 
#> 17.56 20.33 18.00 21.19 18.29 15.55 13.00 20.35 20.14 12.53 16.46 19.54 22.92 
#>   166   187   140   101    81   179     6 150.1   164    63    13    39   100 
#> 19.98  9.92 12.68  9.97 14.06 18.63 15.64 20.33 23.60 22.77 14.34 15.59 16.07 
#>   171    79 181.1   190  99.1  81.1    10  63.1 123.1    41   169    49  10.1 
#> 16.57 16.23 16.46 20.81 21.19 14.06 10.53 22.77 13.00 18.02 22.41 12.19 10.53 
#>   6.1 169.1    91    77 167.1    24   183  49.1  13.1 110.1    16  40.1   192 
#> 15.64 22.41  5.33  7.27 15.55 23.89  9.24 12.19 14.34 17.56  8.71 18.00 16.44 
#>    51   127 101.1  41.1    97   184    52 100.1    55   153  16.1 127.1 123.2 
#> 18.23  3.53  9.97 18.02 19.14 17.77 10.42 16.07 19.34 21.33  8.71  3.53 13.00 
#>    43    18    26  55.1 181.2   139 183.1   155    96 108.1  81.2   113 127.2 
#> 12.10 15.21 15.77 19.34 16.46 21.49  9.24 13.08 14.54 18.29 14.06 22.86  3.53 
#>    57    88 127.3  18.1 190.1 155.1    76 140.1 177.1  76.1   145  10.2    25 
#> 14.46 18.37  3.53 15.21 20.81 13.08 19.22 12.68 12.53 19.22 10.07 10.53  6.32 
#>    23    58 140.2 179.1    66    36    15    93  52.1 128.1    32 187.1   197 
#> 16.92 19.34 12.68 18.63 22.13 21.19 22.68 10.33 10.42 20.35 20.90  9.92 21.60 
#>  63.2 190.2    54    34   185   126    31   161   109   148   193    82    21 
#> 22.77 20.81 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83   116    35    98    19  34.1   178   182  31.1   151   112    47 185.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.1  21.2    46    27   131    44    67   174  46.1     9    22    75  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198  31.2   104  27.1 161.1  34.2  21.3   156  35.1   9.1    62    17   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71    11  71.1   103   147 174.1  82.1 148.1 178.1   152    65  98.1  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176    74   191 191.1   122  54.1     7  62.1   7.1   118   200   165  46.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142  98.2    95  21.4 193.1   186    72   162    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[72]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01967761                0.78350788                0.87987155 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.255588911            -0.009169979             0.278818526 
#>   grade_iii, Cure model 
#>             0.904514998 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 58    19.34      1  39        0         0
#> 113   22.86      1  34        0         0
#> 97    19.14      1  65        0         1
#> 110   17.56      1  65        0         1
#> 25     6.32      1  34        1         0
#> 89    11.44      1  NA        0         0
#> 78    23.88      1  43        0         0
#> 96    14.54      1  33        0         1
#> 107   11.18      1  54        1         0
#> 5     16.43      1  51        0         1
#> 24    23.89      1  38        0         0
#> 194   22.40      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 30    17.43      1  78        0         0
#> 18    15.21      1  49        1         0
#> 127    3.53      1  62        0         1
#> 25.1   6.32      1  34        1         0
#> 15    22.68      1  48        0         0
#> 139   21.49      1  63        1         0
#> 60    13.15      1  38        1         0
#> 190   20.81      1  42        1         0
#> 57    14.46      1  45        0         1
#> 58.1  19.34      1  39        0         0
#> 68    20.62      1  44        0         0
#> 190.1 20.81      1  42        1         0
#> 40    18.00      1  28        1         0
#> 76    19.22      1  54        0         1
#> 40.1  18.00      1  28        1         0
#> 32    20.90      1  37        1         0
#> 56    12.21      1  60        0         0
#> 179   18.63      1  42        0         0
#> 78.1  23.88      1  43        0         0
#> 58.2  19.34      1  39        0         0
#> 18.1  15.21      1  49        1         0
#> 86    23.81      1  58        0         1
#> 99    21.19      1  38        0         1
#> 188   16.16      1  46        0         1
#> 42    12.43      1  49        0         1
#> 150   20.33      1  48        0         0
#> 149    8.37      1  33        1         0
#> 129   23.41      1  53        1         0
#> 66    22.13      1  53        0         0
#> 39    15.59      1  37        0         1
#> 88    18.37      1  47        0         0
#> 101    9.97      1  10        0         1
#> 127.1  3.53      1  62        0         1
#> 26    15.77      1  49        0         1
#> 5.1   16.43      1  51        0         1
#> 158   20.14      1  74        1         0
#> 154   12.63      1  20        1         0
#> 81    14.06      1  34        0         0
#> 90    20.94      1  50        0         1
#> 153   21.33      1  55        1         0
#> 153.1 21.33      1  55        1         0
#> 166   19.98      1  48        0         0
#> 189   10.51      1  NA        1         0
#> 15.1  22.68      1  48        0         0
#> 97.1  19.14      1  65        0         1
#> 26.1  15.77      1  49        0         1
#> 49    12.19      1  48        1         0
#> 14    12.89      1  21        0         0
#> 106   16.67      1  49        1         0
#> 194.1 22.40      1  38        0         1
#> 59    10.16      1  NA        1         0
#> 49.1  12.19      1  48        1         0
#> 99.1  21.19      1  38        0         1
#> 68.1  20.62      1  44        0         0
#> 79    16.23      1  54        1         0
#> 13    14.34      1  54        0         1
#> 139.1 21.49      1  63        1         0
#> 70     7.38      1  30        1         0
#> 111   17.45      1  47        0         1
#> 16     8.71      1  71        0         1
#> 166.1 19.98      1  48        0         0
#> 155   13.08      1  26        0         0
#> 57.1  14.46      1  45        0         1
#> 10    10.53      1  34        0         0
#> 15.2  22.68      1  48        0         0
#> 159   10.55      1  50        0         1
#> 70.1   7.38      1  30        1         0
#> 136   21.83      1  43        0         1
#> 68.2  20.62      1  44        0         0
#> 59.1  10.16      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 91     5.33      1  61        0         1
#> 134   17.81      1  47        1         0
#> 181   16.46      1  45        0         1
#> 106.1 16.67      1  49        1         0
#> 15.3  22.68      1  48        0         0
#> 30.1  17.43      1  78        0         0
#> 164   23.60      1  76        0         1
#> 195   11.76      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 153.2 21.33      1  55        1         0
#> 96.1  14.54      1  33        0         1
#> 114   13.68      1  NA        0         0
#> 40.2  18.00      1  28        1         0
#> 13.1  14.34      1  54        0         1
#> 18.2  15.21      1  49        1         0
#> 155.1 13.08      1  26        0         0
#> 39.1  15.59      1  37        0         1
#> 29    15.45      1  68        1         0
#> 78.2  23.88      1  43        0         0
#> 187    9.92      1  39        1         0
#> 129.1 23.41      1  53        1         0
#> 61    10.12      1  36        0         1
#> 167   15.55      1  56        1         0
#> 59.2  10.16      1  NA        1         0
#> 13.2  14.34      1  54        0         1
#> 153.3 21.33      1  55        1         0
#> 5.2   16.43      1  51        0         1
#> 180   14.82      1  37        0         0
#> 186   24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 71    24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 94    24.00      0  51        0         1
#> 46    24.00      0  71        0         0
#> 74    24.00      0  43        0         1
#> 82    24.00      0  34        0         0
#> 174   24.00      0  49        1         0
#> 1     24.00      0  23        1         0
#> 174.1 24.00      0  49        1         0
#> 165   24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 98    24.00      0  34        1         0
#> 82.1  24.00      0  34        0         0
#> 102   24.00      0  49        0         0
#> 182   24.00      0  35        0         0
#> 165.1 24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 35    24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 47    24.00      0  38        0         1
#> 71.1  24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 73    24.00      0  NA        0         1
#> 21    24.00      0  47        0         0
#> 1.1   24.00      0  23        1         0
#> 21.1  24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 131.1 24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 20    24.00      0  46        1         0
#> 160   24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 54    24.00      0  53        1         0
#> 151   24.00      0  42        0         0
#> 198   24.00      0  66        0         1
#> 156   24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 2     24.00      0   9        0         0
#> 137.1 24.00      0  45        1         0
#> 102.1 24.00      0  49        0         0
#> 161   24.00      0  45        0         0
#> 146.1 24.00      0  63        1         0
#> 34    24.00      0  36        0         0
#> 160.1 24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 198.1 24.00      0  66        0         1
#> 196   24.00      0  19        0         0
#> 178   24.00      0  52        1         0
#> 116.1 24.00      0  58        0         1
#> 7     24.00      0  37        1         0
#> 163   24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 144   24.00      0  28        0         1
#> 102.2 24.00      0  49        0         0
#> 172   24.00      0  41        0         0
#> 94.1  24.00      0  51        0         1
#> 65    24.00      0  57        1         0
#> 112.1 24.00      0  61        0         0
#> 198.2 24.00      0  66        0         1
#> 83    24.00      0   6        0         0
#> 72    24.00      0  40        0         1
#> 95.1  24.00      0  68        0         1
#> 27    24.00      0  63        1         0
#> 95.2  24.00      0  68        0         1
#> 112.2 24.00      0  61        0         0
#> 186.1 24.00      0  45        1         0
#> 54.1  24.00      0  53        1         0
#> 104   24.00      0  50        1         0
#> 20.1  24.00      0  46        1         0
#> 138   24.00      0  44        1         0
#> 20.2  24.00      0  46        1         0
#> 2.1   24.00      0   9        0         0
#> 151.1 24.00      0  42        0         0
#> 156.1 24.00      0  50        1         0
#> 80    24.00      0  41        0         0
#> 137.2 24.00      0  45        1         0
#> 98.1  24.00      0  34        1         0
#> 172.1 24.00      0  41        0         0
#> 104.1 24.00      0  50        1         0
#> 193.1 24.00      0  45        0         1
#> 156.2 24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.256          NA        NA      NA
#> 2 age, Cure model         -0.00917        NA        NA      NA
#> 3 grade_ii, Cure model     0.279          NA        NA      NA
#> 4 grade_iii, Cure model    0.905          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0197        NA        NA      NA
#> 2 grade_ii, Survival model    0.784         NA        NA      NA
#> 3 grade_iii, Survival model   0.880         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.25559          -0.00917           0.27882           0.90451  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 255.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.255588911     -0.009169979      0.278818526      0.904514998 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01967761       0.78350788       0.87987155 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.2284067398 0.0228836953 0.2675688000 0.3504406606 0.9399844401
#>   [6] 0.0013128785 0.6075745545 0.8187936029 0.4383991006 0.0001588145
#>  [11] 0.0506108592 0.3717518363 0.5618469451 0.9758879226 0.9399844401
#>  [16] 0.0278130213 0.0775735631 0.6995719357 0.1522598999 0.6304980717
#>  [21] 0.2284067398 0.1676725025 0.1522598999 0.3093598158 0.2574373380
#>  [26] 0.3093598158 0.1443831468 0.7706781805 0.2879468760 0.0013128785
#>  [31] 0.2284067398 0.5618469451 0.0072149080 0.1212218155 0.4827751175
#>  [36] 0.7587844426 0.1921645704 0.9039393371 0.0148344609 0.0632616466
#>  [41] 0.5166502597 0.2985375069 0.8676600771 0.9758879226 0.4941261187
#>  [46] 0.4383991006 0.2009406160 0.7469057664 0.6878152301 0.1364819367
#>  [51] 0.0921456450 0.0921456450 0.2099084703 0.0278130213 0.2675688000
#>  [56] 0.4941261187 0.7827004832 0.7349363103 0.3937467481 0.0506108592
#>  [61] 0.7827004832 0.1212218155 0.1676725025 0.4714307913 0.6534263528
#>  [66] 0.0775735631 0.9160524085 0.3610893230 0.8918029209 0.2099084703
#>  [71] 0.7113214575 0.6304980717 0.8431479222 0.0278130213 0.8309619473
#>  [76] 0.9160524085 0.0704297530 0.1676725025 0.8066691402 0.9638428397
#>  [81] 0.3398974568 0.4159469353 0.3937467481 0.0278130213 0.3717518363
#>  [86] 0.0107114629 0.4272009536 0.0921456450 0.6075745545 0.3093598158
#>  [91] 0.6534263528 0.5618469451 0.7113214575 0.5166502597 0.5503804455
#>  [96] 0.0013128785 0.8797328403 0.0148344609 0.8554204214 0.5390147479
#> [101] 0.6534263528 0.0921456450 0.4383991006 0.5958872377 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    58   113    97   110    25    78    96   107     5    24   194    30    18 
#> 19.34 22.86 19.14 17.56  6.32 23.88 14.54 11.18 16.43 23.89 22.40 17.43 15.21 
#>   127  25.1    15   139    60   190    57  58.1    68 190.1    40    76  40.1 
#>  3.53  6.32 22.68 21.49 13.15 20.81 14.46 19.34 20.62 20.81 18.00 19.22 18.00 
#>    32    56   179  78.1  58.2  18.1    86    99   188    42   150   149   129 
#> 20.90 12.21 18.63 23.88 19.34 15.21 23.81 21.19 16.16 12.43 20.33  8.37 23.41 
#>    66    39    88   101 127.1    26   5.1   158   154    81    90   153 153.1 
#> 22.13 15.59 18.37  9.97  3.53 15.77 16.43 20.14 12.63 14.06 20.94 21.33 21.33 
#>   166  15.1  97.1  26.1    49    14   106 194.1  49.1  99.1  68.1    79    13 
#> 19.98 22.68 19.14 15.77 12.19 12.89 16.67 22.40 12.19 21.19 20.62 16.23 14.34 
#> 139.1    70   111    16 166.1   155  57.1    10  15.2   159  70.1   136  68.2 
#> 21.49  7.38 17.45  8.71 19.98 13.08 14.46 10.53 22.68 10.55  7.38 21.83 20.62 
#>    43    91   134   181 106.1  15.3  30.1   164   192 153.2  96.1  40.2  13.1 
#> 12.10  5.33 17.81 16.46 16.67 22.68 17.43 23.60 16.44 21.33 14.54 18.00 14.34 
#>  18.2 155.1  39.1    29  78.2   187 129.1    61   167  13.2 153.3   5.2   180 
#> 15.21 13.08 15.59 15.45 23.88  9.92 23.41 10.12 15.55 14.34 21.33 16.43 14.82 
#>   186   116    71   137    94    46    74    82   174     1 174.1   165   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143    62    98  82.1   102   182 165.1   112    35    48    47  71.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   1.1  21.1   191 131.1   200    20   160   146   185    54   151   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156    19     2 137.1 102.1   161 146.1    34 160.1    11 198.1   196   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1     7   163    95   193   144 102.2   172  94.1    65 112.1 198.2    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72  95.1    27  95.2 112.2 186.1  54.1   104  20.1   138  20.2   2.1 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.1    80 137.2  98.1 172.1 104.1 193.1 156.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[73]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007263504               0.085386455               0.150946881 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.86138743              0.01357015              0.19991219 
#>   grade_iii, Cure model 
#>              1.00193075 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 6     15.64      1  39        0         0
#> 49    12.19      1  48        1         0
#> 183    9.24      1  67        1         0
#> 197   21.60      1  69        1         0
#> 194   22.40      1  38        0         1
#> 26    15.77      1  49        0         1
#> 166   19.98      1  48        0         0
#> 177   12.53      1  75        0         0
#> 76    19.22      1  54        0         1
#> 197.1 21.60      1  69        1         0
#> 92    22.92      1  47        0         1
#> 60    13.15      1  38        1         0
#> 85    16.44      1  36        0         0
#> 70     7.38      1  30        1         0
#> 91     5.33      1  61        0         1
#> 6.1   15.64      1  39        0         0
#> 181   16.46      1  45        0         1
#> 89    11.44      1  NA        0         0
#> 57    14.46      1  45        0         1
#> 14    12.89      1  21        0         0
#> 127    3.53      1  62        0         1
#> 90    20.94      1  50        0         1
#> 4     17.64      1  NA        0         1
#> 57.1  14.46      1  45        0         1
#> 96    14.54      1  33        0         1
#> 145   10.07      1  65        1         0
#> 105   19.75      1  60        0         0
#> 58    19.34      1  39        0         0
#> 23    16.92      1  61        0         0
#> 99    21.19      1  38        0         1
#> 56    12.21      1  60        0         0
#> 29    15.45      1  68        1         0
#> 18    15.21      1  49        1         0
#> 190   20.81      1  42        1         0
#> 36    21.19      1  48        0         1
#> 39    15.59      1  37        0         1
#> 63    22.77      1  31        1         0
#> 57.2  14.46      1  45        0         1
#> 85.1  16.44      1  36        0         0
#> 37    12.52      1  57        1         0
#> 117   17.46      1  26        0         1
#> 63.1  22.77      1  31        1         0
#> 60.1  13.15      1  38        1         0
#> 42    12.43      1  49        0         1
#> 170   19.54      1  43        0         1
#> 23.1  16.92      1  61        0         0
#> 171   16.57      1  41        0         1
#> 43    12.10      1  61        0         1
#> 105.1 19.75      1  60        0         0
#> 100   16.07      1  60        0         0
#> 60.2  13.15      1  38        1         0
#> 58.1  19.34      1  39        0         0
#> 70.1   7.38      1  30        1         0
#> 139   21.49      1  63        1         0
#> 158   20.14      1  74        1         0
#> 108   18.29      1  39        0         1
#> 78    23.88      1  43        0         0
#> 199   19.81      1  NA        0         1
#> 197.2 21.60      1  69        1         0
#> 43.1  12.10      1  61        0         1
#> 99.1  21.19      1  38        0         1
#> 56.1  12.21      1  60        0         0
#> 157   15.10      1  47        0         0
#> 51    18.23      1  83        0         1
#> 158.1 20.14      1  74        1         0
#> 89.1  11.44      1  NA        0         0
#> 159   10.55      1  50        0         1
#> 111   17.45      1  47        0         1
#> 36.1  21.19      1  48        0         1
#> 110   17.56      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 149    8.37      1  33        1         0
#> 158.2 20.14      1  74        1         0
#> 140   12.68      1  59        1         0
#> 18.1  15.21      1  49        1         0
#> 10    10.53      1  34        0         0
#> 187    9.92      1  39        1         0
#> 130   16.47      1  53        0         1
#> 13    14.34      1  54        0         1
#> 136   21.83      1  43        0         1
#> 108.1 18.29      1  39        0         1
#> 108.2 18.29      1  39        0         1
#> 130.1 16.47      1  53        0         1
#> 51.1  18.23      1  83        0         1
#> 32    20.90      1  37        1         0
#> 97    19.14      1  65        0         1
#> 45    17.42      1  54        0         1
#> 79    16.23      1  54        1         0
#> 24.1  23.89      1  38        0         0
#> 195.1 11.76      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 16.1   8.71      1  71        0         1
#> 154   12.63      1  20        1         0
#> 129   23.41      1  53        1         0
#> 52    10.42      1  52        0         1
#> 92.1  22.92      1  47        0         1
#> 13.1  14.34      1  54        0         1
#> 183.1  9.24      1  67        1         0
#> 179   18.63      1  42        0         0
#> 91.1   5.33      1  61        0         1
#> 184   17.77      1  38        0         0
#> 187.1  9.92      1  39        1         0
#> 81    14.06      1  34        0         0
#> 134   17.81      1  47        1         0
#> 100.1 16.07      1  60        0         0
#> 41    18.02      1  40        1         0
#> 190.1 20.81      1  42        1         0
#> 99.2  21.19      1  38        0         1
#> 51.2  18.23      1  83        0         1
#> 194.1 22.40      1  38        0         1
#> 158.3 20.14      1  74        1         0
#> 74    24.00      0  43        0         1
#> 87    24.00      0  27        0         0
#> 185   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 54    24.00      0  53        1         0
#> 131   24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 22    24.00      0  52        1         0
#> 22.1  24.00      0  52        1         0
#> 44    24.00      0  56        0         0
#> 132   24.00      0  55        0         0
#> 151   24.00      0  42        0         0
#> 67    24.00      0  25        0         0
#> 11    24.00      0  42        0         1
#> 22.2  24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 118   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 162   24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 118.1 24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 146   24.00      0  63        1         0
#> 74.1  24.00      0  43        0         1
#> 103   24.00      0  56        1         0
#> 47    24.00      0  38        0         1
#> 62    24.00      0  71        0         0
#> 174   24.00      0  49        1         0
#> 12    24.00      0  63        0         0
#> 178   24.00      0  52        1         0
#> 34    24.00      0  36        0         0
#> 144   24.00      0  28        0         1
#> 17    24.00      0  38        0         1
#> 132.1 24.00      0  55        0         0
#> 147   24.00      0  76        1         0
#> 147.1 24.00      0  76        1         0
#> 71    24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 34.1  24.00      0  36        0         0
#> 119   24.00      0  17        0         0
#> 118.2 24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 71.1  24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 80    24.00      0  41        0         0
#> 95.1  24.00      0  68        0         1
#> 71.2  24.00      0  51        0         0
#> 17.1  24.00      0  38        0         1
#> 137   24.00      0  45        1         0
#> 173   24.00      0  19        0         1
#> 103.1 24.00      0  56        1         0
#> 1     24.00      0  23        1         0
#> 176   24.00      0  43        0         1
#> 17.2  24.00      0  38        0         1
#> 34.2  24.00      0  36        0         0
#> 27    24.00      0  63        1         0
#> 144.1 24.00      0  28        0         1
#> 142   24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 146.1 24.00      0  63        1         0
#> 182   24.00      0  35        0         0
#> 144.2 24.00      0  28        0         1
#> 185.1 24.00      0  44        1         0
#> 173.1 24.00      0  19        0         1
#> 72.1  24.00      0  40        0         1
#> 186   24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 148.1 24.00      0  61        1         0
#> 48    24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 148.2 24.00      0  61        1         0
#> 143   24.00      0  51        0         0
#> 22.3  24.00      0  52        1         0
#> 161   24.00      0  45        0         0
#> 3     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 142.1 24.00      0  53        0         0
#> 54.1  24.00      0  53        1         0
#> 62.1  24.00      0  71        0         0
#> 152   24.00      0  36        0         1
#> 121   24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 178.1 24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 121.1 24.00      0  57        1         0
#> 98    24.00      0  34        1         0
#> 22.4  24.00      0  52        1         0
#> 46    24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.861         NA        NA      NA
#> 2 age, Cure model           0.0136        NA        NA      NA
#> 3 grade_ii, Cure model      0.200         NA        NA      NA
#> 4 grade_iii, Cure model     1.00          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00726        NA        NA      NA
#> 2 grade_ii, Survival model   0.0854         NA        NA      NA
#> 3 grade_iii, Survival model  0.151          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.86139           0.01357           0.19991           1.00193  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 254.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.86138743       0.01357015       0.19991219       1.00193075 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007263504      0.085386455      0.150946881 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.71539579 0.88363196 0.93998381 0.25507237 0.20928443 0.70821223
#>   [7] 0.43930487 0.85132311 0.49494173 0.25507237 0.14060918 0.81180711
#>  [13] 0.67185680 0.97026231 0.98223225 0.71539579 0.66444325 0.77148795
#>  [19] 0.83154067 0.99408501 0.35881530 0.77148795 0.76457146 0.92144506
#>  [25] 0.44891872 0.47679074 0.62681898 0.30578791 0.87083795 0.73669760
#>  [31] 0.74374403 0.38079756 0.30578791 0.72959787 0.17614942 0.77148795
#>  [37] 0.67185680 0.85786018 0.60337344 0.17614942 0.81180711 0.86436514
#>  [43] 0.46751042 0.62681898 0.64200877 0.89002704 0.44891872 0.69382211
#>  [49] 0.81180711 0.47679074 0.97026231 0.29298063 0.40176211 0.52172958
#>  [55] 0.09162013 0.25507237 0.89002704 0.30578791 0.87083795 0.75762493
#>  [61] 0.54713195 0.40176211 0.90262491 0.61125489 0.30578791 0.59545011
#>  [67] 0.04289898 0.96423233 0.40176211 0.83816256 0.74374403 0.90891637
#>  [73] 0.92766299 0.64959797 0.79172165 0.23985606 0.52172958 0.52172958
#>  [79] 0.64959797 0.54713195 0.36987581 0.50398130 0.61907222 0.68650604
#>  [85] 0.04289898 0.95218122 0.95218122 0.84474948 0.11762541 0.91519565
#>  [91] 0.14060918 0.79172165 0.93998381 0.51288282 0.98223225 0.58743457
#>  [97] 0.92766299 0.80510371 0.57938410 0.69382211 0.57127366 0.38079756
#> [103] 0.30578791 0.54713195 0.20928443 0.40176211 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>     6    49   183   197   194    26   166   177    76 197.1    92    60    85 
#> 15.64 12.19  9.24 21.60 22.40 15.77 19.98 12.53 19.22 21.60 22.92 13.15 16.44 
#>    70    91   6.1   181    57    14   127    90  57.1    96   145   105    58 
#>  7.38  5.33 15.64 16.46 14.46 12.89  3.53 20.94 14.46 14.54 10.07 19.75 19.34 
#>    23    99    56    29    18   190    36    39    63  57.2  85.1    37   117 
#> 16.92 21.19 12.21 15.45 15.21 20.81 21.19 15.59 22.77 14.46 16.44 12.52 17.46 
#>  63.1  60.1    42   170  23.1   171    43 105.1   100  60.2  58.1  70.1   139 
#> 22.77 13.15 12.43 19.54 16.92 16.57 12.10 19.75 16.07 13.15 19.34  7.38 21.49 
#>   158   108    78 197.2  43.1  99.1  56.1   157    51 158.1   159   111  36.1 
#> 20.14 18.29 23.88 21.60 12.10 21.19 12.21 15.10 18.23 20.14 10.55 17.45 21.19 
#>   110    24   149 158.2   140  18.1    10   187   130    13   136 108.1 108.2 
#> 17.56 23.89  8.37 20.14 12.68 15.21 10.53  9.92 16.47 14.34 21.83 18.29 18.29 
#> 130.1  51.1    32    97    45    79  24.1    16  16.1   154   129    52  92.1 
#> 16.47 18.23 20.90 19.14 17.42 16.23 23.89  8.71  8.71 12.63 23.41 10.42 22.92 
#>  13.1 183.1   179  91.1   184 187.1    81   134 100.1    41 190.1  99.2  51.2 
#> 14.34  9.24 18.63  5.33 17.77  9.92 14.06 17.81 16.07 18.02 20.81 21.19 18.23 
#> 194.1 158.3    74    87   185   112    54   131   200    22  22.1    44   132 
#> 22.40 20.14 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151    67    11  22.2    95   118    33   162    72 118.1   193   146  74.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103    47    62   174    12   178    34   144    17 132.1   147 147.1    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1   119 118.2   148  71.1     7    80  95.1  71.2  17.1   137   173 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1   176  17.2  34.2    27 144.1   142   198 146.1   182 144.2 185.1 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1   186   102 148.1    48    19 148.2   143  22.3   161     3 142.1  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.1   152   121    83 178.1   109 121.1    98  22.4    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[74]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005846302               0.250317686               0.513368906 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.769705122             0.005133718             0.662222009 
#>   grade_iii, Cure model 
#>             1.513526488 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 14    12.89      1  21        0         0
#> 36    21.19      1  48        0         1
#> 129   23.41      1  53        1         0
#> 164   23.60      1  76        0         1
#> 171   16.57      1  41        0         1
#> 89    11.44      1  NA        0         0
#> 49    12.19      1  48        1         0
#> 110   17.56      1  65        0         1
#> 89.1  11.44      1  NA        0         0
#> 42    12.43      1  49        0         1
#> 39    15.59      1  37        0         1
#> 117   17.46      1  26        0         1
#> 43    12.10      1  61        0         1
#> 184   17.77      1  38        0         0
#> 58    19.34      1  39        0         0
#> 145   10.07      1  65        1         0
#> 127    3.53      1  62        0         1
#> 164.1 23.60      1  76        0         1
#> 140   12.68      1  59        1         0
#> 127.1  3.53      1  62        0         1
#> 167   15.55      1  56        1         0
#> 129.1 23.41      1  53        1         0
#> 61    10.12      1  36        0         1
#> 4     17.64      1  NA        0         1
#> 139   21.49      1  63        1         0
#> 171.1 16.57      1  41        0         1
#> 89.2  11.44      1  NA        0         0
#> 155   13.08      1  26        0         0
#> 55    19.34      1  69        0         1
#> 127.2  3.53      1  62        0         1
#> 133   14.65      1  57        0         0
#> 13    14.34      1  54        0         1
#> 50    10.02      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 154   12.63      1  20        1         0
#> 16.1   8.71      1  71        0         1
#> 86    23.81      1  58        0         1
#> 190   20.81      1  42        1         0
#> 42.1  12.43      1  49        0         1
#> 29    15.45      1  68        1         0
#> 153   21.33      1  55        1         0
#> 124    9.73      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 93    10.33      1  52        0         1
#> 169   22.41      1  46        0         0
#> 45    17.42      1  54        0         1
#> 117.1 17.46      1  26        0         1
#> 58.1  19.34      1  39        0         0
#> 140.1 12.68      1  59        1         0
#> 100   16.07      1  60        0         0
#> 76    19.22      1  54        0         1
#> 127.3  3.53      1  62        0         1
#> 36.1  21.19      1  48        0         1
#> 129.2 23.41      1  53        1         0
#> 123   13.00      1  44        1         0
#> 128   20.35      1  35        0         1
#> 15    22.68      1  48        0         0
#> 23    16.92      1  61        0         0
#> 101    9.97      1  10        0         1
#> 117.2 17.46      1  26        0         1
#> 58.2  19.34      1  39        0         0
#> 60    13.15      1  38        1         0
#> 78    23.88      1  43        0         0
#> 108   18.29      1  39        0         1
#> 117.3 17.46      1  26        0         1
#> 76.1  19.22      1  54        0         1
#> 199   19.81      1  NA        0         1
#> 134   17.81      1  47        1         0
#> 63    22.77      1  31        1         0
#> 10    10.53      1  34        0         0
#> 18    15.21      1  49        1         0
#> 61.1  10.12      1  36        0         1
#> 188   16.16      1  46        0         1
#> 145.1 10.07      1  65        1         0
#> 129.3 23.41      1  53        1         0
#> 179   18.63      1  42        0         0
#> 79    16.23      1  54        1         0
#> 110.1 17.56      1  65        0         1
#> 129.4 23.41      1  53        1         0
#> 111   17.45      1  47        0         1
#> 68    20.62      1  44        0         0
#> 175   21.91      1  43        0         0
#> 85    16.44      1  36        0         0
#> 179.1 18.63      1  42        0         0
#> 78.1  23.88      1  43        0         0
#> 63.1  22.77      1  31        1         0
#> 171.2 16.57      1  41        0         1
#> 100.1 16.07      1  60        0         0
#> 93.1  10.33      1  52        0         1
#> 23.1  16.92      1  61        0         0
#> 59    10.16      1  NA        1         0
#> 60.1  13.15      1  38        1         0
#> 124.1  9.73      1  NA        1         0
#> 175.1 21.91      1  43        0         0
#> 45.1  17.42      1  54        0         1
#> 181.1 16.46      1  45        0         1
#> 183    9.24      1  67        1         0
#> 140.2 12.68      1  59        1         0
#> 90    20.94      1  50        0         1
#> 76.2  19.22      1  54        0         1
#> 61.2  10.12      1  36        0         1
#> 180   14.82      1  37        0         0
#> 32    20.90      1  37        1         0
#> 99    21.19      1  38        0         1
#> 18.1  15.21      1  49        1         0
#> 18.2  15.21      1  49        1         0
#> 153.1 21.33      1  55        1         0
#> 192   16.44      1  31        1         0
#> 69    23.23      1  25        0         1
#> 153.2 21.33      1  55        1         0
#> 113   22.86      1  34        0         0
#> 134.1 17.81      1  47        1         0
#> 186   24.00      0  45        1         0
#> 82    24.00      0  34        0         0
#> 118   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 34    24.00      0  36        0         0
#> 87    24.00      0  27        0         0
#> 156   24.00      0  50        1         0
#> 72    24.00      0  40        0         1
#> 33.1  24.00      0  53        0         0
#> 161   24.00      0  45        0         0
#> 135   24.00      0  58        1         0
#> 121   24.00      0  57        1         0
#> 9     24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 186.1 24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 94    24.00      0  51        0         1
#> 74    24.00      0  43        0         1
#> 44    24.00      0  56        0         0
#> 46    24.00      0  71        0         0
#> 165.1 24.00      0  47        0         0
#> 62    24.00      0  71        0         0
#> 67    24.00      0  25        0         0
#> 12.1  24.00      0  63        0         0
#> 142   24.00      0  53        0         0
#> 151   24.00      0  42        0         0
#> 131   24.00      0  66        0         0
#> 151.1 24.00      0  42        0         0
#> 53    24.00      0  32        0         1
#> 161.1 24.00      0  45        0         0
#> 3     24.00      0  31        1         0
#> 165.2 24.00      0  47        0         0
#> 132   24.00      0  55        0         0
#> 33.2  24.00      0  53        0         0
#> 186.2 24.00      0  45        1         0
#> 72.1  24.00      0  40        0         1
#> 141   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 104   24.00      0  50        1         0
#> 21    24.00      0  47        0         0
#> 22    24.00      0  52        1         0
#> 53.1  24.00      0  32        0         1
#> 146   24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 162   24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 7     24.00      0  37        1         0
#> 19.2  24.00      0  57        0         1
#> 112   24.00      0  61        0         0
#> 48    24.00      0  31        1         0
#> 19.3  24.00      0  57        0         1
#> 1     24.00      0  23        1         0
#> 137   24.00      0  45        1         0
#> 2     24.00      0   9        0         0
#> 75    24.00      0  21        1         0
#> 54    24.00      0  53        1         0
#> 95    24.00      0  68        0         1
#> 118.1 24.00      0  44        1         0
#> 44.1  24.00      0  56        0         0
#> 33.3  24.00      0  53        0         0
#> 138   24.00      0  44        1         0
#> 75.1  24.00      0  21        1         0
#> 73    24.00      0  NA        0         1
#> 80    24.00      0  41        0         0
#> 196   24.00      0  19        0         0
#> 19.4  24.00      0  57        0         1
#> 48.1  24.00      0  31        1         0
#> 142.1 24.00      0  53        0         0
#> 46.1  24.00      0  71        0         0
#> 95.1  24.00      0  68        0         1
#> 3.1   24.00      0  31        1         0
#> 19.5  24.00      0  57        0         1
#> 174   24.00      0  49        1         0
#> 143   24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 198   24.00      0  66        0         1
#> 176.1 24.00      0  43        0         1
#> 67.1  24.00      0  25        0         0
#> 82.1  24.00      0  34        0         0
#> 82.2  24.00      0  34        0         0
#> 82.3  24.00      0  34        0         0
#> 138.1 24.00      0  44        1         0
#> 165.3 24.00      0  47        0         0
#> 9.1   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.770          NA        NA      NA
#> 2 age, Cure model          0.00513        NA        NA      NA
#> 3 grade_ii, Cure model     0.662          NA        NA      NA
#> 4 grade_iii, Cure model    1.51           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00585        NA        NA      NA
#> 2 grade_ii, Survival model   0.250          NA        NA      NA
#> 3 grade_iii, Survival model  0.513          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.769705          0.005134          0.662222          1.513526  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 244.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.769705122      0.005133718      0.662222009      1.513526488 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005846302      0.250317686      0.513368906 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.768048830 0.229182479 0.063222895 0.041995769 0.543393996 0.833927410
#>   [7] 0.438508663 0.815177486 0.645928631 0.458374153 0.843358854 0.428394760
#>  [13] 0.309860653 0.908415249 0.963803130 0.041995769 0.777522894 0.963803130
#>  [19] 0.655310033 0.063222895 0.880871719 0.187614079 0.543393996 0.749128485
#>  [25] 0.309860653 0.963803130 0.711431529 0.720910152 0.945418046 0.805692103
#>  [31] 0.945418046 0.029176984 0.279263436 0.815177486 0.664701410 0.198350478
#>  [37] 0.571286553 0.862204784 0.156474139 0.505462993 0.458374153 0.309860653
#>  [43] 0.777522894 0.627208734 0.349093620 0.963803130 0.229182479 0.063222895
#>  [49] 0.758588250 0.299718014 0.146225140 0.524325583 0.926917402 0.458374153
#>  [55] 0.309860653 0.730361618 0.008065272 0.398437840 0.458374153 0.349093620
#>  [61] 0.408498210 0.126767490 0.852772434 0.674110990 0.880871719 0.617861071
#>  [67] 0.908415249 0.063222895 0.378406257 0.608474087 0.438508663 0.063222895
#>  [73] 0.495863031 0.289449729 0.166884111 0.589862967 0.378406257 0.008065272
#>  [79] 0.126767490 0.543393996 0.627208734 0.862204784 0.524325583 0.730361618
#>  [85] 0.166884111 0.505462993 0.571286553 0.936161698 0.777522894 0.258874063
#>  [91] 0.349093620 0.880871719 0.701988563 0.269075406 0.229182479 0.674110990
#>  [97] 0.674110990 0.198350478 0.589862967 0.106432380 0.198350478 0.116519741
#> [103] 0.408498210 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    14    36   129   164   171    49   110    42    39   117    43   184    58 
#> 12.89 21.19 23.41 23.60 16.57 12.19 17.56 12.43 15.59 17.46 12.10 17.77 19.34 
#>   145   127 164.1   140 127.1   167 129.1    61   139 171.1   155    55 127.2 
#> 10.07  3.53 23.60 12.68  3.53 15.55 23.41 10.12 21.49 16.57 13.08 19.34  3.53 
#>   133    13    16   154  16.1    86   190  42.1    29   153   181    93   169 
#> 14.65 14.34  8.71 12.63  8.71 23.81 20.81 12.43 15.45 21.33 16.46 10.33 22.41 
#>    45 117.1  58.1 140.1   100    76 127.3  36.1 129.2   123   128    15    23 
#> 17.42 17.46 19.34 12.68 16.07 19.22  3.53 21.19 23.41 13.00 20.35 22.68 16.92 
#>   101 117.2  58.2    60    78   108 117.3  76.1   134    63    10    18  61.1 
#>  9.97 17.46 19.34 13.15 23.88 18.29 17.46 19.22 17.81 22.77 10.53 15.21 10.12 
#>   188 145.1 129.3   179    79 110.1 129.4   111    68   175    85 179.1  78.1 
#> 16.16 10.07 23.41 18.63 16.23 17.56 23.41 17.45 20.62 21.91 16.44 18.63 23.88 
#>  63.1 171.2 100.1  93.1  23.1  60.1 175.1  45.1 181.1   183 140.2    90  76.2 
#> 22.77 16.57 16.07 10.33 16.92 13.15 21.91 17.42 16.46  9.24 12.68 20.94 19.22 
#>  61.2   180    32    99  18.1  18.2 153.1   192    69 153.2   113 134.1   186 
#> 10.12 14.82 20.90 21.19 15.21 15.21 21.33 16.44 23.23 21.33 22.86 17.81 24.00 
#>    82   118    33    34    87   156    72  33.1   161   135   121     9   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126 186.1    27    35    12    94    74    44    46 165.1    62    67  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142   151   131 151.1    53 161.1     3 165.2   132  33.2 186.2  72.1   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   104    21    22  53.1   146    64   162    38  19.1     7  19.2   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48  19.3     1   137     2    75    54    95 118.1  44.1  33.3   138  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   196  19.4  48.1 142.1  46.1  95.1   3.1  19.5   174   143   176   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1  67.1  82.1  82.2  82.3 138.1 165.3   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[75]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.00856789                0.68063581                0.32866374 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.069679742            -0.004526986             0.326147058 
#>   grade_iii, Cure model 
#>             0.857971849 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 40    18.00      1  28        1         0
#> 130   16.47      1  53        0         1
#> 117   17.46      1  26        0         1
#> 60    13.15      1  38        1         0
#> 79    16.23      1  54        1         0
#> 189   10.51      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 114   13.68      1  NA        0         0
#> 81    14.06      1  34        0         0
#> 113   22.86      1  34        0         0
#> 150   20.33      1  48        0         0
#> 41    18.02      1  40        1         0
#> 42    12.43      1  49        0         1
#> 180   14.82      1  37        0         0
#> 194   22.40      1  38        0         1
#> 49    12.19      1  48        1         0
#> 37    12.52      1  57        1         0
#> 14    12.89      1  21        0         0
#> 30    17.43      1  78        0         0
#> 130.1 16.47      1  53        0         1
#> 69    23.23      1  25        0         1
#> 43    12.10      1  61        0         1
#> 101    9.97      1  10        0         1
#> 25     6.32      1  34        1         0
#> 25.1   6.32      1  34        1         0
#> 113.1 22.86      1  34        0         0
#> 55    19.34      1  69        0         1
#> 56    12.21      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 149    8.37      1  33        1         0
#> 168   23.72      1  70        0         0
#> 189.1 10.51      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 18    15.21      1  49        1         0
#> 188   16.16      1  46        0         1
#> 195   11.76      1  NA        1         0
#> 180.1 14.82      1  37        0         0
#> 108   18.29      1  39        0         1
#> 85    16.44      1  36        0         0
#> 134   17.81      1  47        1         0
#> 14.1  12.89      1  21        0         0
#> 23    16.92      1  61        0         0
#> 179   18.63      1  42        0         0
#> 37.1  12.52      1  57        1         0
#> 43.1  12.10      1  61        0         1
#> 59.1  10.16      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 150.1 20.33      1  48        0         0
#> 14.2  12.89      1  21        0         0
#> 43.2  12.10      1  61        0         1
#> 140   12.68      1  59        1         0
#> 171.1 16.57      1  41        0         1
#> 127    3.53      1  62        0         1
#> 29    15.45      1  68        1         0
#> 50    10.02      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 150.2 20.33      1  48        0         0
#> 125   15.65      1  67        1         0
#> 15    22.68      1  48        0         0
#> 55.1  19.34      1  69        0         1
#> 26    15.77      1  49        0         1
#> 177   12.53      1  75        0         0
#> 128   20.35      1  35        0         1
#> 117.1 17.46      1  26        0         1
#> 106   16.67      1  49        1         0
#> 78    23.88      1  43        0         0
#> 29.1  15.45      1  68        1         0
#> 40.1  18.00      1  28        1         0
#> 181   16.46      1  45        0         1
#> 170   19.54      1  43        0         1
#> 117.2 17.46      1  26        0         1
#> 181.1 16.46      1  45        0         1
#> 76.1  19.22      1  54        0         1
#> 68    20.62      1  44        0         0
#> 177.1 12.53      1  75        0         0
#> 5     16.43      1  51        0         1
#> 158.1 20.14      1  74        1         0
#> 130.2 16.47      1  53        0         1
#> 60.1  13.15      1  38        1         0
#> 107   11.18      1  54        1         0
#> 79.1  16.23      1  54        1         0
#> 40.2  18.00      1  28        1         0
#> 78.1  23.88      1  43        0         0
#> 57    14.46      1  45        0         1
#> 56.1  12.21      1  60        0         0
#> 128.1 20.35      1  35        0         1
#> 127.1  3.53      1  62        0         1
#> 90    20.94      1  50        0         1
#> 100   16.07      1  60        0         0
#> 69.1  23.23      1  25        0         1
#> 77     7.27      1  67        0         1
#> 85.1  16.44      1  36        0         0
#> 179.1 18.63      1  42        0         0
#> 42.1  12.43      1  49        0         1
#> 136   21.83      1  43        0         1
#> 97    19.14      1  65        0         1
#> 177.2 12.53      1  75        0         0
#> 170.1 19.54      1  43        0         1
#> 169   22.41      1  46        0         0
#> 101.1  9.97      1  10        0         1
#> 68.1  20.62      1  44        0         0
#> 129   23.41      1  53        1         0
#> 154   12.63      1  20        1         0
#> 92.1  22.92      1  47        0         1
#> 85.2  16.44      1  36        0         0
#> 63    22.77      1  31        1         0
#> 41.1  18.02      1  40        1         0
#> 183.1  9.24      1  67        1         0
#> 93    10.33      1  52        0         1
#> 110   17.56      1  65        0         1
#> 37.2  12.52      1  57        1         0
#> 178   24.00      0  52        1         0
#> 162   24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 163   24.00      0  66        0         0
#> 11    24.00      0  42        0         1
#> 185   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 46    24.00      0  71        0         0
#> 122   24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 1     24.00      0  23        1         0
#> 151   24.00      0  42        0         0
#> 53    24.00      0  32        0         1
#> 143   24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 62    24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 120   24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 138   24.00      0  44        1         0
#> 162.1 24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 64    24.00      0  43        0         0
#> 122.1 24.00      0  66        0         0
#> 53.1  24.00      0  32        0         1
#> 115.1 24.00      0  NA        1         0
#> 27    24.00      0  63        1         0
#> 73    24.00      0  NA        0         1
#> 31    24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 1.1   24.00      0  23        1         0
#> 161   24.00      0  45        0         0
#> 19    24.00      0  57        0         1
#> 109.1 24.00      0  48        0         0
#> 87    24.00      0  27        0         0
#> 178.1 24.00      0  52        1         0
#> 28    24.00      0  67        1         0
#> 64.1  24.00      0  43        0         0
#> 72    24.00      0  40        0         1
#> 31.1  24.00      0  36        0         1
#> 119   24.00      0  17        0         0
#> 172   24.00      0  41        0         0
#> 196   24.00      0  19        0         0
#> 22    24.00      0  52        1         0
#> 54    24.00      0  53        1         0
#> 178.2 24.00      0  52        1         0
#> 115.2 24.00      0  NA        1         0
#> 186   24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 87.1  24.00      0  27        0         0
#> 131.1 24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 109.2 24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 118   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 176   24.00      0  43        0         1
#> 72.1  24.00      0  40        0         1
#> 19.1  24.00      0  57        0         1
#> 165   24.00      0  47        0         0
#> 98    24.00      0  34        1         0
#> 193   24.00      0  45        0         1
#> 84    24.00      0  39        0         1
#> 198   24.00      0  66        0         1
#> 73.1  24.00      0  NA        0         1
#> 19.2  24.00      0  57        0         1
#> 142   24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 46.1  24.00      0  71        0         0
#> 95.1  24.00      0  68        0         1
#> 178.3 24.00      0  52        1         0
#> 146.1 24.00      0  63        1         0
#> 31.2  24.00      0  36        0         1
#> 174   24.00      0  49        1         0
#> 94    24.00      0  51        0         1
#> 126   24.00      0  48        0         0
#> 112   24.00      0  61        0         0
#> 143.1 24.00      0  51        0         0
#> 132.1 24.00      0  55        0         0
#> 118.1 24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 131.2 24.00      0  66        0         0
#> 118.2 24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 80    24.00      0  41        0         0
#> 11.1  24.00      0  42        0         1
#> 119.1 24.00      0  17        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0697         NA        NA      NA
#> 2 age, Cure model         -0.00453        NA        NA      NA
#> 3 grade_ii, Cure model     0.326          NA        NA      NA
#> 4 grade_iii, Cure model    0.858          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00857        NA        NA      NA
#> 2 grade_ii, Survival model   0.681          NA        NA      NA
#> 3 grade_iii, Survival model  0.329          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.069680         -0.004527          0.326147          0.857972  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 251.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.069679742     -0.004526986      0.326147058      0.857971849 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.00856789       0.68063581       0.32866374 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.61328799 0.70715395 0.65101633 0.84011904 0.76496707 0.54447243
#>   [7] 0.83461126 0.28166682 0.45129866 0.59706633 0.90761751 0.81801106
#>  [13] 0.36030575 0.92713977 0.89278537 0.85085503 0.67242311 0.70715395
#>  [19] 0.20715822 0.93196545 0.95540179 0.98258726 0.98258726 0.28166682
#>  [25] 0.52582813 0.91741354 0.96463327 0.97364848 0.14744489 0.24740527
#>  [31] 0.81242380 0.77716008 0.81801106 0.58848104 0.73959307 0.63610092
#>  [37] 0.85085503 0.67956297 0.57120040 0.89278537 0.93196545 0.69359664
#>  [43] 0.45129866 0.85085503 0.93196545 0.86684863 0.69359664 0.99134573
#>  [49] 0.80113249 0.48562817 0.45129866 0.79525595 0.33017195 0.52582813
#>  [55] 0.78926849 0.87738560 0.42716694 0.65101633 0.68665170 0.07381983
#>  [61] 0.80113249 0.61328799 0.72672701 0.50613015 0.65101633 0.72672701
#>  [67] 0.54447243 0.40178133 0.87738560 0.75862932 0.48562817 0.70715395
#>  [73] 0.84011904 0.94607493 0.76496707 0.61328799 0.07381983 0.82909116
#>  [79] 0.91741354 0.42716694 0.99134573 0.38849099 0.78323001 0.20715822
#>  [85] 0.97813284 0.73959307 0.57120040 0.90761751 0.37466534 0.56237725
#>  [91] 0.87738560 0.50613015 0.34539750 0.95540179 0.40178133 0.18229991
#>  [97] 0.87213851 0.24740527 0.73959307 0.31458083 0.59706633 0.96463327
#> [103] 0.95075173 0.64362017 0.89278537 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    40   130   117    60    79    76    81   113   150    41    42   180   194 
#> 18.00 16.47 17.46 13.15 16.23 19.22 14.06 22.86 20.33 18.02 12.43 14.82 22.40 
#>    49    37    14    30 130.1    69    43   101    25  25.1 113.1    55    56 
#> 12.19 12.52 12.89 17.43 16.47 23.23 12.10  9.97  6.32  6.32 22.86 19.34 12.21 
#>   183   149   168    92    18   188 180.1   108    85   134  14.1    23   179 
#>  9.24  8.37 23.72 22.92 15.21 16.16 14.82 18.29 16.44 17.81 12.89 16.92 18.63 
#>  37.1  43.1   171 150.1  14.2  43.2   140 171.1   127    29   158 150.2   125 
#> 12.52 12.10 16.57 20.33 12.89 12.10 12.68 16.57  3.53 15.45 20.14 20.33 15.65 
#>    15  55.1    26   177   128 117.1   106    78  29.1  40.1   181   170 117.2 
#> 22.68 19.34 15.77 12.53 20.35 17.46 16.67 23.88 15.45 18.00 16.46 19.54 17.46 
#> 181.1  76.1    68 177.1     5 158.1 130.2  60.1   107  79.1  40.2  78.1    57 
#> 16.46 19.22 20.62 12.53 16.43 20.14 16.47 13.15 11.18 16.23 18.00 23.88 14.46 
#>  56.1 128.1 127.1    90   100  69.1    77  85.1 179.1  42.1   136    97 177.2 
#> 12.21 20.35  3.53 20.94 16.07 23.23  7.27 16.44 18.63 12.43 21.83 19.14 12.53 
#> 170.1   169 101.1  68.1   129   154  92.1  85.2    63  41.1 183.1    93   110 
#> 19.54 22.41  9.97 20.62 23.41 12.63 22.92 16.44 22.77 18.02  9.24 10.33 17.56 
#>  37.2   178   162   163    11   185     7    46   122    95     1   151    53 
#> 12.52 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143   132    62   146   120   144   138 162.1    33    64 122.1  53.1    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   109   1.1   161    19 109.1    87 178.1    28  64.1    72  31.1   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172   196    22    54 178.2   186   131    34  87.1 131.1    12 109.2   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118   121   176  72.1  19.1   165    98   193    84   198  19.2   142    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1  95.1 178.3 146.1  31.2   174    94   126   112 143.1 132.1 118.1    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.2 118.2    65    80  11.1 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[76]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004650114               0.632374730               0.726815356 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.87125727              0.01594684             -0.26957385 
#>   grade_iii, Cure model 
#>              1.04312948 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 43    12.10      1  61        0         1
#> 180   14.82      1  37        0         0
#> 43.1  12.10      1  61        0         1
#> 188   16.16      1  46        0         1
#> 59    10.16      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 36    21.19      1  48        0         1
#> 153   21.33      1  55        1         0
#> 42    12.43      1  49        0         1
#> 168   23.72      1  70        0         0
#> 105   19.75      1  60        0         0
#> 190   20.81      1  42        1         0
#> 6     15.64      1  39        0         0
#> 76    19.22      1  54        0         1
#> 61    10.12      1  36        0         1
#> 6.1   15.64      1  39        0         0
#> 164   23.60      1  76        0         1
#> 127    3.53      1  62        0         1
#> 130   16.47      1  53        0         1
#> 189   10.51      1  NA        1         0
#> 76.1  19.22      1  54        0         1
#> 177   12.53      1  75        0         0
#> 69    23.23      1  25        0         1
#> 43.2  12.10      1  61        0         1
#> 30    17.43      1  78        0         0
#> 25     6.32      1  34        1         0
#> 52    10.42      1  52        0         1
#> 39    15.59      1  37        0         1
#> 36.1  21.19      1  48        0         1
#> 5     16.43      1  51        0         1
#> 32    20.90      1  37        1         0
#> 59.1  10.16      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 77     7.27      1  67        0         1
#> 52.1  10.42      1  52        0         1
#> 127.1  3.53      1  62        0         1
#> 76.2  19.22      1  54        0         1
#> 181   16.46      1  45        0         1
#> 197   21.60      1  69        1         0
#> 52.2  10.42      1  52        0         1
#> 154   12.63      1  20        1         0
#> 4     17.64      1  NA        0         1
#> 197.1 21.60      1  69        1         0
#> 78    23.88      1  43        0         0
#> 184   17.77      1  38        0         0
#> 190.1 20.81      1  42        1         0
#> 43.3  12.10      1  61        0         1
#> 86    23.81      1  58        0         1
#> 23    16.92      1  61        0         0
#> 79    16.23      1  54        1         0
#> 105.1 19.75      1  60        0         0
#> 101    9.97      1  10        0         1
#> 79.1  16.23      1  54        1         0
#> 77.1   7.27      1  67        0         1
#> 26    15.77      1  49        0         1
#> 168.1 23.72      1  70        0         0
#> 189.1 10.51      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 69.1  23.23      1  25        0         1
#> 195   11.76      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 175   21.91      1  43        0         0
#> 59.2  10.16      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 29    15.45      1  68        1         0
#> 60    13.15      1  38        1         0
#> 189.2 10.51      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 68    20.62      1  44        0         0
#> 10    10.53      1  34        0         0
#> 6.2   15.64      1  39        0         0
#> 76.3  19.22      1  54        0         1
#> 42.1  12.43      1  49        0         1
#> 159   10.55      1  50        0         1
#> 43.4  12.10      1  61        0         1
#> 113   22.86      1  34        0         0
#> 41    18.02      1  40        1         0
#> 170   19.54      1  43        0         1
#> 195.1 11.76      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 58    19.34      1  39        0         0
#> 45    17.42      1  54        0         1
#> 194   22.40      1  38        0         1
#> 15.1  22.68      1  48        0         0
#> 88    18.37      1  47        0         0
#> 13    14.34      1  54        0         1
#> 13.1  14.34      1  54        0         1
#> 18    15.21      1  49        1         0
#> 92    22.92      1  47        0         1
#> 153.1 21.33      1  55        1         0
#> 61.1  10.12      1  36        0         1
#> 81    14.06      1  34        0         0
#> 66    22.13      1  53        0         0
#> 184.1 17.77      1  38        0         0
#> 167   15.55      1  56        1         0
#> 13.2  14.34      1  54        0         1
#> 18.1  15.21      1  49        1         0
#> 66.1  22.13      1  53        0         0
#> 96    14.54      1  33        0         1
#> 92.1  22.92      1  47        0         1
#> 68.1  20.62      1  44        0         0
#> 93    10.33      1  52        0         1
#> 78.1  23.88      1  43        0         0
#> 199   19.81      1  NA        0         1
#> 69.2  23.23      1  25        0         1
#> 51    18.23      1  83        0         1
#> 58.1  19.34      1  39        0         0
#> 60.1  13.15      1  38        1         0
#> 145   10.07      1  65        1         0
#> 32.1  20.90      1  37        1         0
#> 169.1 22.41      1  46        0         0
#> 129   23.41      1  53        1         0
#> 87    24.00      0  27        0         0
#> 102   24.00      0  49        0         0
#> 126   24.00      0  48        0         0
#> 67    24.00      0  25        0         0
#> 17    24.00      0  38        0         1
#> 152   24.00      0  36        0         1
#> 48    24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 104   24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 118   24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 142   24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 147   24.00      0  76        1         0
#> 73    24.00      0  NA        0         1
#> 17.1  24.00      0  38        0         1
#> 102.1 24.00      0  49        0         0
#> 44    24.00      0  56        0         0
#> 80    24.00      0  41        0         0
#> 131   24.00      0  66        0         0
#> 193   24.00      0  45        0         1
#> 121   24.00      0  57        1         0
#> 176   24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 80.1  24.00      0  41        0         0
#> 116   24.00      0  58        0         1
#> 104.1 24.00      0  50        1         0
#> 87.1  24.00      0  27        0         0
#> 11    24.00      0  42        0         1
#> 147.1 24.00      0  76        1         0
#> 71    24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 7     24.00      0  37        1         0
#> 47    24.00      0  38        0         1
#> 73.1  24.00      0  NA        0         1
#> 163   24.00      0  66        0         0
#> 121.1 24.00      0  57        1         0
#> 172.1 24.00      0  41        0         0
#> 173   24.00      0  19        0         1
#> 173.1 24.00      0  19        0         1
#> 54    24.00      0  53        1         0
#> 22    24.00      0  52        1         0
#> 35    24.00      0  51        0         0
#> 46    24.00      0  71        0         0
#> 135   24.00      0  58        1         0
#> 83    24.00      0   6        0         0
#> 112   24.00      0  61        0         0
#> 54.1  24.00      0  53        1         0
#> 122   24.00      0  66        0         0
#> 160   24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 72    24.00      0  40        0         1
#> 142.1 24.00      0  53        0         0
#> 122.1 24.00      0  66        0         0
#> 65    24.00      0  57        1         0
#> 67.1  24.00      0  25        0         0
#> 94    24.00      0  51        0         1
#> 9     24.00      0  31        1         0
#> 83.1  24.00      0   6        0         0
#> 73.2  24.00      0  NA        0         1
#> 17.2  24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 72.1  24.00      0  40        0         1
#> 198   24.00      0  66        0         1
#> 67.2  24.00      0  25        0         0
#> 156   24.00      0  50        1         0
#> 27    24.00      0  63        1         0
#> 121.2 24.00      0  57        1         0
#> 98    24.00      0  34        1         0
#> 132   24.00      0  55        0         0
#> 162.1 24.00      0  51        0         0
#> 102.2 24.00      0  49        0         0
#> 146   24.00      0  63        1         0
#> 44.1  24.00      0  56        0         0
#> 120   24.00      0  68        0         1
#> 109   24.00      0  48        0         0
#> 7.1   24.00      0  37        1         0
#> 31    24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 137   24.00      0  45        1         0
#> 185.1 24.00      0  44        1         0
#> 65.1  24.00      0  57        1         0
#> 156.1 24.00      0  50        1         0
#> 21    24.00      0  47        0         0
#> 162.2 24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.871         NA        NA      NA
#> 2 age, Cure model           0.0159        NA        NA      NA
#> 3 grade_ii, Cure model     -0.270         NA        NA      NA
#> 4 grade_iii, Cure model     1.04          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00465        NA        NA      NA
#> 2 grade_ii, Survival model   0.632          NA        NA      NA
#> 3 grade_iii, Survival model  0.727          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.87126           0.01595          -0.26957           1.04313  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 241.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.87125727       0.01594684      -0.26957385       1.04312948 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004650114      0.632374730      0.726815356 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.89640682 0.82197683 0.89640682 0.75871191 0.98612393 0.51162755
#>   [7] 0.49117834 0.88546119 0.19926533 0.58443225 0.54926511 0.77176144
#>  [13] 0.62722652 0.95243991 0.77176144 0.24815983 0.99080752 0.72464097
#>  [19] 0.62722652 0.87986039 0.28890959 0.89640682 0.69551752 0.98140115
#>  [25] 0.93247974 0.79094439 0.51162755 0.73861877 0.53085814 0.71748588
#>  [31] 0.97192353 0.93247974 0.99080752 0.62722652 0.73168160 0.46943442
#>  [37] 0.93247974 0.87424468 0.46943442 0.09819638 0.68069592 0.54926511
#>  [43] 0.89640682 0.17020921 0.71022191 0.74545183 0.58443225 0.96708684
#>  [49] 0.74545183 0.97192353 0.76528112 0.19926533 0.28890959 0.04247611
#>  [55] 0.45754545 0.86859027 0.80361396 0.85720923 0.37141000 0.56691057
#>  [61] 0.92732241 0.77176144 0.62722652 0.88546119 0.92216017 0.89640682
#>  [67] 0.35826739 0.67321268 0.60178655 0.39678980 0.61033761 0.70293349
#>  [73] 0.42178889 0.37141000 0.65785142 0.83408410 0.83408410 0.80983532
#>  [79] 0.33230432 0.49117834 0.95243991 0.85140335 0.43394252 0.68069592
#>  [85] 0.79731546 0.83408410 0.80983532 0.43394252 0.82806170 0.33230432
#>  [91] 0.56691057 0.94746228 0.09819638 0.28890959 0.66562256 0.61033761
#>  [97] 0.85720923 0.96222176 0.53085814 0.39678980 0.26961482 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    43   180  43.1   188    91    36   153    42   168   105   190     6    76 
#> 12.10 14.82 12.10 16.16  5.33 21.19 21.33 12.43 23.72 19.75 20.81 15.64 19.22 
#>    61   6.1   164   127   130  76.1   177    69  43.2    30    25    52    39 
#> 10.12 15.64 23.60  3.53 16.47 19.22 12.53 23.23 12.10 17.43  6.32 10.42 15.59 
#>  36.1     5    32   171    77  52.1 127.1  76.2   181   197  52.2   154 197.1 
#> 21.19 16.43 20.90 16.57  7.27 10.42  3.53 19.22 16.46 21.60 10.42 12.63 21.60 
#>    78   184 190.1  43.3    86    23    79 105.1   101  79.1  77.1    26 168.1 
#> 23.88 17.77 20.81 12.10 23.81 16.92 16.23 19.75  9.97 16.23  7.27 15.77 23.72 
#>  69.1    24   175   140    29    60    15    68    10   6.2  76.3  42.1   159 
#> 23.23 23.89 21.91 12.68 15.45 13.15 22.68 20.62 10.53 15.64 19.22 12.43 10.55 
#>  43.4   113    41   170   169    58    45   194  15.1    88    13  13.1    18 
#> 12.10 22.86 18.02 19.54 22.41 19.34 17.42 22.40 22.68 18.37 14.34 14.34 15.21 
#>    92 153.1  61.1    81    66 184.1   167  13.2  18.1  66.1    96  92.1  68.1 
#> 22.92 21.33 10.12 14.06 22.13 17.77 15.55 14.34 15.21 22.13 14.54 22.92 20.62 
#>    93  78.1  69.2    51  58.1  60.1   145  32.1 169.1   129    87   102   126 
#> 10.33 23.88 23.23 18.23 19.34 13.15 10.07 20.90 22.41 23.41 24.00 24.00 24.00 
#>    67    17   152    48   172   104   103   118 103.1   142    28   147  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1    44    80   131   193   121   176   162   185  80.1   116 104.1  87.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11 147.1    71    82     7    47   163 121.1 172.1   173 173.1    54    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35    46   135    83   112  54.1   122   160  11.1    72 142.1 122.1    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1    94     9  83.1  17.2    12  72.1   198  67.2   156    27 121.2    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132 162.1 102.2   146  44.1   120   109   7.1    31    75   137 185.1  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.1    21 162.2    74 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[77]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007349469               0.405182053               0.429613096 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.38338316              0.00760682              0.12880101 
#>   grade_iii, Cure model 
#>              0.61404223 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 155   13.08      1  26        0         0
#> 117   17.46      1  26        0         1
#> 105   19.75      1  60        0         0
#> 85    16.44      1  36        0         0
#> 155.1 13.08      1  26        0         0
#> 175   21.91      1  43        0         0
#> 155.2 13.08      1  26        0         0
#> 78    23.88      1  43        0         0
#> 154   12.63      1  20        1         0
#> 100   16.07      1  60        0         0
#> 39    15.59      1  37        0         1
#> 107   11.18      1  54        1         0
#> 5     16.43      1  51        0         1
#> 97    19.14      1  65        0         1
#> 168   23.72      1  70        0         0
#> 140   12.68      1  59        1         0
#> 91     5.33      1  61        0         1
#> 106   16.67      1  49        1         0
#> 145   10.07      1  65        1         0
#> 124    9.73      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 60    13.15      1  38        1         0
#> 45    17.42      1  54        0         1
#> 41    18.02      1  40        1         0
#> 96    14.54      1  33        0         1
#> 90    20.94      1  50        0         1
#> 154.1 12.63      1  20        1         0
#> 127    3.53      1  62        0         1
#> 30    17.43      1  78        0         0
#> 105.1 19.75      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 171   16.57      1  41        0         1
#> 123   13.00      1  44        1         0
#> 41.1  18.02      1  40        1         0
#> 78.1  23.88      1  43        0         0
#> 55    19.34      1  69        0         1
#> 150   20.33      1  48        0         0
#> 134   17.81      1  47        1         0
#> 26    15.77      1  49        0         1
#> 145.1 10.07      1  65        1         0
#> 69    23.23      1  25        0         1
#> 39.1  15.59      1  37        0         1
#> 18    15.21      1  49        1         0
#> 110   17.56      1  65        0         1
#> 78.2  23.88      1  43        0         0
#> 16     8.71      1  71        0         1
#> 4     17.64      1  NA        0         1
#> 127.1  3.53      1  62        0         1
#> 6     15.64      1  39        0         0
#> 23    16.92      1  61        0         0
#> 30.1  17.43      1  78        0         0
#> 164   23.60      1  76        0         1
#> 85.1  16.44      1  36        0         0
#> 13    14.34      1  54        0         1
#> 155.3 13.08      1  26        0         0
#> 164.1 23.60      1  76        0         1
#> 25     6.32      1  34        1         0
#> 107.1 11.18      1  54        1         0
#> 133   14.65      1  57        0         0
#> 171.1 16.57      1  41        0         1
#> 111   17.45      1  47        0         1
#> 108   18.29      1  39        0         1
#> 57    14.46      1  45        0         1
#> 157   15.10      1  47        0         0
#> 52    10.42      1  52        0         1
#> 110.1 17.56      1  65        0         1
#> 139   21.49      1  63        1         0
#> 85.2  16.44      1  36        0         0
#> 78.3  23.88      1  43        0         0
#> 85.3  16.44      1  36        0         0
#> 129   23.41      1  53        1         0
#> 181   16.46      1  45        0         1
#> 97.1  19.14      1  65        0         1
#> 190   20.81      1  42        1         0
#> 110.2 17.56      1  65        0         1
#> 88    18.37      1  47        0         0
#> 140.1 12.68      1  59        1         0
#> 42    12.43      1  49        0         1
#> 187    9.92      1  39        1         0
#> 129.1 23.41      1  53        1         0
#> 93    10.33      1  52        0         1
#> 63    22.77      1  31        1         0
#> 86.1  23.81      1  58        0         1
#> 129.2 23.41      1  53        1         0
#> 42.1  12.43      1  49        0         1
#> 197   21.60      1  69        1         0
#> 15    22.68      1  48        0         0
#> 150.1 20.33      1  48        0         0
#> 190.1 20.81      1  42        1         0
#> 8     18.43      1  32        0         0
#> 41.2  18.02      1  40        1         0
#> 189   10.51      1  NA        1         0
#> 106.1 16.67      1  49        1         0
#> 96.1  14.54      1  33        0         1
#> 63.1  22.77      1  31        1         0
#> 145.2 10.07      1  65        1         0
#> 105.2 19.75      1  60        0         0
#> 192   16.44      1  31        1         0
#> 6.1   15.64      1  39        0         0
#> 86.2  23.81      1  58        0         1
#> 40    18.00      1  28        1         0
#> 175.1 21.91      1  43        0         0
#> 133.1 14.65      1  57        0         0
#> 113   22.86      1  34        0         0
#> 58    19.34      1  39        0         0
#> 4.1   17.64      1  NA        0         1
#> 43    12.10      1  61        0         1
#> 59    10.16      1  NA        1         0
#> 100.1 16.07      1  60        0         0
#> 4.2   17.64      1  NA        0         1
#> 30.2  17.43      1  78        0         0
#> 190.2 20.81      1  42        1         0
#> 2     24.00      0   9        0         0
#> 115   24.00      0  NA        1         0
#> 182   24.00      0  35        0         0
#> 148   24.00      0  61        1         0
#> 12    24.00      0  63        0         0
#> 17    24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 163   24.00      0  66        0         0
#> 71    24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 17.1  24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 21    24.00      0  47        0         0
#> 135   24.00      0  58        1         0
#> 65    24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 156   24.00      0  50        1         0
#> 151   24.00      0  42        0         0
#> 198.1 24.00      0  66        0         1
#> 161   24.00      0  45        0         0
#> 19.1  24.00      0  57        0         1
#> 132   24.00      0  55        0         0
#> 64    24.00      0  43        0         0
#> 27    24.00      0  63        1         0
#> 75    24.00      0  21        1         0
#> 119   24.00      0  17        0         0
#> 144   24.00      0  28        0         1
#> 165   24.00      0  47        0         0
#> 12.1  24.00      0  63        0         0
#> 174   24.00      0  49        1         0
#> 9     24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 193   24.00      0  45        0         1
#> 131   24.00      0  66        0         0
#> 35    24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 196   24.00      0  19        0         0
#> 62    24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 193.1 24.00      0  45        0         1
#> 38    24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 3     24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 102   24.00      0  49        0         0
#> 148.1 24.00      0  61        1         0
#> 71.1  24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 119.1 24.00      0  17        0         0
#> 71.2  24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 65.1  24.00      0  57        1         0
#> 186.1 24.00      0  45        1         0
#> 64.1  24.00      0  43        0         0
#> 38.1  24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 62.1  24.00      0  71        0         0
#> 148.2 24.00      0  61        1         0
#> 35.1  24.00      0  51        0         0
#> 147   24.00      0  76        1         0
#> 11    24.00      0  42        0         1
#> 163.1 24.00      0  66        0         0
#> 144.1 24.00      0  28        0         1
#> 83    24.00      0   6        0         0
#> 47    24.00      0  38        0         1
#> 132.1 24.00      0  55        0         0
#> 160   24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 126   24.00      0  48        0         0
#> 174.1 24.00      0  49        1         0
#> 109   24.00      0  48        0         0
#> 146   24.00      0  63        1         0
#> 122   24.00      0  66        0         0
#> 102.1 24.00      0  49        0         0
#> 47.1  24.00      0  38        0         1
#> 73    24.00      0  NA        0         1
#> 131.1 24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 182.1 24.00      0  35        0         0
#> 116.1 24.00      0  58        0         1
#> 160.1 24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 137   24.00      0  45        1         0
#> 9.1   24.00      0  31        1         0
#> 182.2 24.00      0  35        0         0
#> 135.1 24.00      0  58        1         0
#> 11.1  24.00      0  42        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.383          NA        NA      NA
#> 2 age, Cure model          0.00761        NA        NA      NA
#> 3 grade_ii, Cure model     0.129          NA        NA      NA
#> 4 grade_iii, Cure model    0.614          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00735        NA        NA      NA
#> 2 grade_ii, Survival model   0.405          NA        NA      NA
#> 3 grade_iii, Survival model  0.430          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.383383          0.007607          0.128801          0.614042  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 258.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.38338316       0.00760682       0.12880101       0.61404223 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007349469      0.405182053      0.429613096 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.748971988 0.413219111 0.241441034 0.530172856 0.748971988 0.151569102
#>   [7] 0.748971988 0.008517339 0.819312062 0.588120799 0.638157668 0.869520459
#>  [13] 0.578190891 0.288400368 0.055700966 0.799086554 0.969884768 0.481189202
#>  [19] 0.909711937 0.033574656 0.738875474 0.461395711 0.337130970 0.698514490
#>  [25] 0.187950657 0.819312062 0.979954150 0.432425500 0.241441034 0.500815845
#>  [31] 0.788916264 0.337130970 0.008517339 0.269284721 0.223266685 0.375216987
#>  [37] 0.608050958 0.909711937 0.107722646 0.638157668 0.658121030 0.384873044
#>  [43] 0.008517339 0.949732109 0.979954150 0.618087130 0.471254908 0.432425500
#>  [49] 0.064927874 0.530172856 0.728760418 0.748971988 0.064927874 0.959817324
#>  [55] 0.869520459 0.678268332 0.500815845 0.422831879 0.327280092 0.718640689
#>  [61] 0.668172500 0.889567366 0.384873044 0.178686105 0.530172856 0.008517339
#>  [67] 0.530172856 0.082662209 0.520337880 0.288400368 0.197186122 0.384873044
#>  [73] 0.317383452 0.799086554 0.839391580 0.939656319 0.082662209 0.899642390
#>  [79] 0.125659084 0.033574656 0.082662209 0.839391580 0.169448568 0.142644317
#>  [85] 0.223266685 0.197186122 0.307576152 0.337130970 0.481189202 0.698514490
#>  [91] 0.125659084 0.909711937 0.241441034 0.530172856 0.618087130 0.033574656
#>  [97] 0.365545619 0.151569102 0.678268332 0.116614489 0.269284721 0.859436616
#> [103] 0.588120799 0.432425500 0.197186122 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   155   117   105    85 155.1   175 155.2    78   154   100    39   107     5 
#> 13.08 17.46 19.75 16.44 13.08 21.91 13.08 23.88 12.63 16.07 15.59 11.18 16.43 
#>    97   168   140    91   106   145    86    60    45    41    96    90 154.1 
#> 19.14 23.72 12.68  5.33 16.67 10.07 23.81 13.15 17.42 18.02 14.54 20.94 12.63 
#>   127    30 105.1   171   123  41.1  78.1    55   150   134    26 145.1    69 
#>  3.53 17.43 19.75 16.57 13.00 18.02 23.88 19.34 20.33 17.81 15.77 10.07 23.23 
#>  39.1    18   110  78.2    16 127.1     6    23  30.1   164  85.1    13 155.3 
#> 15.59 15.21 17.56 23.88  8.71  3.53 15.64 16.92 17.43 23.60 16.44 14.34 13.08 
#> 164.1    25 107.1   133 171.1   111   108    57   157    52 110.1   139  85.2 
#> 23.60  6.32 11.18 14.65 16.57 17.45 18.29 14.46 15.10 10.42 17.56 21.49 16.44 
#>  78.3  85.3   129   181  97.1   190 110.2    88 140.1    42   187 129.1    93 
#> 23.88 16.44 23.41 16.46 19.14 20.81 17.56 18.37 12.68 12.43  9.92 23.41 10.33 
#>    63  86.1 129.2  42.1   197    15 150.1 190.1     8  41.2 106.1  96.1  63.1 
#> 22.77 23.81 23.41 12.43 21.60 22.68 20.33 20.81 18.43 18.02 16.67 14.54 22.77 
#> 145.2 105.2   192   6.1  86.2    40 175.1 133.1   113    58    43 100.1  30.2 
#> 10.07 19.75 16.44 15.64 23.81 18.00 21.91 14.65 22.86 19.34 12.10 16.07 17.43 
#> 190.2     2   182   148    12    17   116   163    71   104    19  17.1    34 
#> 20.81 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   135    65   198   156   151 198.1   161  19.1   132    64    27    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   144   165  12.1   174     9   186   193   131    35    98   196    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95 193.1    38    67     3    28   102 148.1  71.1   176 119.1  71.2   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1 186.1  64.1  38.1    72  62.1 148.2  35.1   147    11 163.1 144.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47 132.1   160  75.1   126 174.1   109   146   122 102.1  47.1 131.1   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1 116.1 160.1    94   137   9.1 182.2 135.1  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[78]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004357439               0.546660722               0.308533266 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.383907506             0.004394858             0.283641827 
#>   grade_iii, Cure model 
#>             0.840948410 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 97    19.14      1  65        0         1
#> 77     7.27      1  67        0         1
#> 195   11.76      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 69    23.23      1  25        0         1
#> 107   11.18      1  54        1         0
#> 66    22.13      1  53        0         0
#> 187    9.92      1  39        1         0
#> 24    23.89      1  38        0         0
#> 195.1 11.76      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 136   21.83      1  43        0         1
#> 188   16.16      1  46        0         1
#> 41    18.02      1  40        1         0
#> 4     17.64      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 90    20.94      1  50        0         1
#> 111   17.45      1  47        0         1
#> 14    12.89      1  21        0         0
#> 157   15.10      1  47        0         0
#> 63    22.77      1  31        1         0
#> 40    18.00      1  28        1         0
#> 23    16.92      1  61        0         0
#> 45    17.42      1  54        0         1
#> 42    12.43      1  49        0         1
#> 125   15.65      1  67        1         0
#> 78    23.88      1  43        0         0
#> 15    22.68      1  48        0         0
#> 14.1  12.89      1  21        0         0
#> 125.1 15.65      1  67        1         0
#> 101    9.97      1  10        0         1
#> 111.1 17.45      1  47        0         1
#> 136.1 21.83      1  43        0         1
#> 195.2 11.76      1  NA        1         0
#> 15.1  22.68      1  48        0         0
#> 166   19.98      1  48        0         0
#> 158   20.14      1  74        1         0
#> 106   16.67      1  49        1         0
#> 187.1  9.92      1  39        1         0
#> 18    15.21      1  49        1         0
#> 26    15.77      1  49        0         1
#> 63.1  22.77      1  31        1         0
#> 79    16.23      1  54        1         0
#> 4.1   17.64      1  NA        0         1
#> 69.1  23.23      1  25        0         1
#> 153   21.33      1  55        1         0
#> 37    12.52      1  57        1         0
#> 155   13.08      1  26        0         0
#> 61    10.12      1  36        0         1
#> 134   17.81      1  47        1         0
#> 177   12.53      1  75        0         0
#> 199   19.81      1  NA        0         1
#> 179   18.63      1  42        0         0
#> 8     18.43      1  32        0         0
#> 32    20.90      1  37        1         0
#> 50    10.02      1  NA        1         0
#> 60.1  13.15      1  38        1         0
#> 16     8.71      1  71        0         1
#> 140   12.68      1  59        1         0
#> 59    10.16      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 154   12.63      1  20        1         0
#> 92    22.92      1  47        0         1
#> 158.1 20.14      1  74        1         0
#> 179.1 18.63      1  42        0         0
#> 170   19.54      1  43        0         1
#> 175   21.91      1  43        0         0
#> 192   16.44      1  31        1         0
#> 157.1 15.10      1  47        0         0
#> 136.2 21.83      1  43        0         1
#> 129   23.41      1  53        1         0
#> 70     7.38      1  30        1         0
#> 100   16.07      1  60        0         0
#> 123   13.00      1  44        1         0
#> 4.2   17.64      1  NA        0         1
#> 184   17.77      1  38        0         0
#> 110   17.56      1  65        0         1
#> 60.2  13.15      1  38        1         0
#> 10    10.53      1  34        0         0
#> 194   22.40      1  38        0         1
#> 56    12.21      1  60        0         0
#> 81    14.06      1  34        0         0
#> 150   20.33      1  48        0         0
#> 26.1  15.77      1  49        0         1
#> 32.1  20.90      1  37        1         0
#> 166.1 19.98      1  48        0         0
#> 42.1  12.43      1  49        0         1
#> 168   23.72      1  70        0         0
#> 194.1 22.40      1  38        0         1
#> 197   21.60      1  69        1         0
#> 127    3.53      1  62        0         1
#> 8.1   18.43      1  32        0         0
#> 130   16.47      1  53        0         1
#> 8.2   18.43      1  32        0         0
#> 140.1 12.68      1  59        1         0
#> 56.1  12.21      1  60        0         0
#> 99    21.19      1  38        0         1
#> 36.1  21.19      1  48        0         1
#> 97.1  19.14      1  65        0         1
#> 125.2 15.65      1  67        1         0
#> 18.1  15.21      1  49        1         0
#> 18.2  15.21      1  49        1         0
#> 50.1  10.02      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 91     5.33      1  61        0         1
#> 29    15.45      1  68        1         0
#> 51    18.23      1  83        0         1
#> 139   21.49      1  63        1         0
#> 108   18.29      1  39        0         1
#> 52    10.42      1  52        0         1
#> 168.1 23.72      1  70        0         0
#> 37.1  12.52      1  57        1         0
#> 17    24.00      0  38        0         1
#> 156   24.00      0  50        1         0
#> 73    24.00      0  NA        0         1
#> 71    24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 84.1  24.00      0  39        0         1
#> 118   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 83    24.00      0   6        0         0
#> 94    24.00      0  51        0         1
#> 131   24.00      0  66        0         0
#> 7     24.00      0  37        1         0
#> 64    24.00      0  43        0         0
#> 9     24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 121   24.00      0  57        1         0
#> 174   24.00      0  49        1         0
#> 102   24.00      0  49        0         0
#> 122   24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 131.1 24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 34    24.00      0  36        0         0
#> 109   24.00      0  48        0         0
#> 121.1 24.00      0  57        1         0
#> 121.2 24.00      0  57        1         0
#> 21    24.00      0  47        0         0
#> 174.1 24.00      0  49        1         0
#> 103   24.00      0  56        1         0
#> 87.1  24.00      0  27        0         0
#> 137   24.00      0  45        1         0
#> 34.1  24.00      0  36        0         0
#> 147   24.00      0  76        1         0
#> 28    24.00      0  67        1         0
#> 122.1 24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 200   24.00      0  64        0         0
#> 152   24.00      0  36        0         1
#> 12.1  24.00      0  63        0         0
#> 3     24.00      0  31        1         0
#> 147.1 24.00      0  76        1         0
#> 196   24.00      0  19        0         0
#> 95    24.00      0  68        0         1
#> 160   24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 174.2 24.00      0  49        1         0
#> 87.2  24.00      0  27        0         0
#> 28.1  24.00      0  67        1         0
#> 103.1 24.00      0  56        1         0
#> 19    24.00      0  57        0         1
#> 22.1  24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 103.2 24.00      0  56        1         0
#> 162   24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 35    24.00      0  51        0         0
#> 84.2  24.00      0  39        0         1
#> 172   24.00      0  41        0         0
#> 152.1 24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 84.3  24.00      0  39        0         1
#> 94.2  24.00      0  51        0         1
#> 131.2 24.00      0  66        0         0
#> 172.1 24.00      0  41        0         0
#> 118.1 24.00      0  44        1         0
#> 122.2 24.00      0  66        0         0
#> 122.3 24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 182   24.00      0  35        0         0
#> 28.2  24.00      0  67        1         0
#> 2     24.00      0   9        0         0
#> 109.1 24.00      0  48        0         0
#> 143.1 24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 156.1 24.00      0  50        1         0
#> 84.4  24.00      0  39        0         1
#> 7.1   24.00      0  37        1         0
#> 160.1 24.00      0  31        1         0
#> 21.1  24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 191   24.00      0  60        0         1
#> 120   24.00      0  68        0         1
#> 156.2 24.00      0  50        1         0
#> 182.1 24.00      0  35        0         0
#> 200.1 24.00      0  64        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.384          NA        NA      NA
#> 2 age, Cure model          0.00439        NA        NA      NA
#> 3 grade_ii, Cure model     0.284          NA        NA      NA
#> 4 grade_iii, Cure model    0.841          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00436        NA        NA      NA
#> 2 grade_ii, Survival model   0.547          NA        NA      NA
#> 3 grade_iii, Survival model  0.309          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.383908          0.004395          0.283642          0.840948  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 255.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.383907506      0.004394858      0.283641827      0.840948410 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004357439      0.546660722      0.308533266 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.52329159 0.98282794 0.40625551 0.16811398 0.91763011 0.30758146
#>   [7] 0.95959294 0.02789691 0.75584119 0.33494948 0.70528293 0.60170459
#>  [13] 0.81010632 0.43727459 0.64300966 0.84264955 0.78997286 0.22185966
#>  [19] 0.61015254 0.66676625 0.65886130 0.89321453 0.73483551 0.06509943
#>  [25] 0.25152334 0.84264955 0.73483551 0.95367649 0.64300966 0.33494948
#>  [31] 0.25152334 0.49577037 0.47724841 0.67464276 0.95959294 0.76986699
#>  [37] 0.72021265 0.22185966 0.69775342 0.16811398 0.39506756 0.88086624
#>  [43] 0.82961107 0.94176412 0.61849064 0.87456260 0.54095423 0.55850187
#>  [49] 0.44769402 0.81010632 0.97123940 0.85556351 0.92369418 0.86824135
#>  [55] 0.20409632 0.47724841 0.54095423 0.51413283 0.32132546 0.69012632
#>  [61] 0.78997286 0.33494948 0.14652537 0.97705032 0.71275947 0.83615808
#>  [67] 0.62670470 0.63489943 0.81010632 0.92973078 0.28039952 0.90544691
#>  [73] 0.80338236 0.46735911 0.72021265 0.44769402 0.49577037 0.89321453
#>  [79] 0.09898816 0.28039952 0.37144490 0.99430173 0.55850187 0.68241594
#>  [85] 0.55850187 0.85556351 0.90544691 0.40625551 0.40625551 0.52329159
#>  [91] 0.73483551 0.76986699 0.76986699 0.94774450 0.98857775 0.76289674
#>  [97] 0.59312945 0.38348769 0.58443431 0.93576114 0.09898816 0.88086624
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    97    77    36    69   107    66   187    24     6   136   188    41    60 
#> 19.14  7.27 21.19 23.23 11.18 22.13  9.92 23.89 15.64 21.83 16.16 18.02 13.15 
#>    90   111    14   157    63    40    23    45    42   125    78    15  14.1 
#> 20.94 17.45 12.89 15.10 22.77 18.00 16.92 17.42 12.43 15.65 23.88 22.68 12.89 
#> 125.1   101 111.1 136.1  15.1   166   158   106 187.1    18    26  63.1    79 
#> 15.65  9.97 17.45 21.83 22.68 19.98 20.14 16.67  9.92 15.21 15.77 22.77 16.23 
#>  69.1   153    37   155    61   134   177   179     8    32  60.1    16   140 
#> 23.23 21.33 12.52 13.08 10.12 17.81 12.53 18.63 18.43 20.90 13.15  8.71 12.68 
#>   159   154    92 158.1 179.1   170   175   192 157.1 136.2   129    70   100 
#> 10.55 12.63 22.92 20.14 18.63 19.54 21.91 16.44 15.10 21.83 23.41  7.38 16.07 
#>   123   184   110  60.2    10   194    56    81   150  26.1  32.1 166.1  42.1 
#> 13.00 17.77 17.56 13.15 10.53 22.40 12.21 14.06 20.33 15.77 20.90 19.98 12.43 
#>   168 194.1   197   127   8.1   130   8.2 140.1  56.1    99  36.1  97.1 125.2 
#> 23.72 22.40 21.60  3.53 18.43 16.47 18.43 12.68 12.21 21.19 21.19 19.14 15.65 
#>  18.1  18.2   145    91    29    51   139   108    52 168.1  37.1    17   156 
#> 15.21 15.21 10.07  5.33 15.45 18.23 21.49 18.29 10.42 23.72 12.52 24.00 24.00 
#>    71    84  84.1   118   144    83    94   131     7    64     9    12   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   102   122    22 131.1    87    34   109 121.1 121.2    21 174.1   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1   137  34.1   147    28 122.1     1   200   152  12.1     3 147.1   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95   160   3.1    38 174.2  87.2  28.1 103.1    19  22.1   193 103.2   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1    35  84.2   172 152.1   132  84.3  94.2 131.2 172.1 118.1 122.2 122.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143    98   182  28.2     2 109.1 143.1   119 156.1  84.4   7.1 160.1  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    53   191   120 156.2 182.1 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[79]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002234821               1.600995889               0.603855643 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.00375151              0.01220947              0.59295474 
#>   grade_iii, Cure model 
#>              1.60496416 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 79    16.23      1  54        1         0
#> 117   17.46      1  26        0         1
#> 155   13.08      1  26        0         0
#> 154   12.63      1  20        1         0
#> 77     7.27      1  67        0         1
#> 128   20.35      1  35        0         1
#> 106   16.67      1  49        1         0
#> 45    17.42      1  54        0         1
#> 90    20.94      1  50        0         1
#> 30    17.43      1  78        0         0
#> 37    12.52      1  57        1         0
#> 15    22.68      1  48        0         0
#> 99    21.19      1  38        0         1
#> 134   17.81      1  47        1         0
#> 70     7.38      1  30        1         0
#> 57    14.46      1  45        0         1
#> 187    9.92      1  39        1         0
#> 168   23.72      1  70        0         0
#> 91     5.33      1  61        0         1
#> 170   19.54      1  43        0         1
#> 195   11.76      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 23    16.92      1  61        0         0
#> 107   11.18      1  54        1         0
#> 134.1 17.81      1  47        1         0
#> 110   17.56      1  65        0         1
#> 56    12.21      1  60        0         0
#> 167   15.55      1  56        1         0
#> 168.1 23.72      1  70        0         0
#> 99.1  21.19      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 195.1 11.76      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 23.1  16.92      1  61        0         0
#> 177   12.53      1  75        0         0
#> 171   16.57      1  41        0         1
#> 145   10.07      1  65        1         0
#> 69    23.23      1  25        0         1
#> 15.1  22.68      1  48        0         0
#> 90.1  20.94      1  50        0         1
#> 117.1 17.46      1  26        0         1
#> 140   12.68      1  59        1         0
#> 70.1   7.38      1  30        1         0
#> 187.1  9.92      1  39        1         0
#> 134.2 17.81      1  47        1         0
#> 129   23.41      1  53        1         0
#> 49    12.19      1  48        1         0
#> 192   16.44      1  31        1         0
#> 36    21.19      1  48        0         1
#> 68    20.62      1  44        0         0
#> 14    12.89      1  21        0         0
#> 70.2   7.38      1  30        1         0
#> 123   13.00      1  44        1         0
#> 168.2 23.72      1  70        0         0
#> 36.1  21.19      1  48        0         1
#> 107.1 11.18      1  54        1         0
#> 192.1 16.44      1  31        1         0
#> 69.1  23.23      1  25        0         1
#> 24    23.89      1  38        0         0
#> 188   16.16      1  46        0         1
#> 8     18.43      1  32        0         0
#> 45.1  17.42      1  54        0         1
#> 145.1 10.07      1  65        1         0
#> 169   22.41      1  46        0         0
#> 77.1   7.27      1  67        0         1
#> 56.1  12.21      1  60        0         0
#> 145.2 10.07      1  65        1         0
#> 86    23.81      1  58        0         1
#> 15.2  22.68      1  48        0         0
#> 61    10.12      1  36        0         1
#> 89    11.44      1  NA        0         0
#> 106.1 16.67      1  49        1         0
#> 171.1 16.57      1  41        0         1
#> 100   16.07      1  60        0         0
#> 60.1  13.15      1  38        1         0
#> 25     6.32      1  34        1         0
#> 66    22.13      1  53        0         0
#> 145.3 10.07      1  65        1         0
#> 107.2 11.18      1  54        1         0
#> 37.1  12.52      1  57        1         0
#> 68.1  20.62      1  44        0         0
#> 195.2 11.76      1  NA        1         0
#> 117.2 17.46      1  26        0         1
#> 168.3 23.72      1  70        0         0
#> 170.1 19.54      1  43        0         1
#> 23.2  16.92      1  61        0         0
#> 150   20.33      1  48        0         0
#> 97    19.14      1  65        0         1
#> 25.1   6.32      1  34        1         0
#> 130   16.47      1  53        0         1
#> 18    15.21      1  49        1         0
#> 18.1  15.21      1  49        1         0
#> 101    9.97      1  10        0         1
#> 99.2  21.19      1  38        0         1
#> 24.1  23.89      1  38        0         0
#> 43    12.10      1  61        0         1
#> 36.2  21.19      1  48        0         1
#> 93    10.33      1  52        0         1
#> 76    19.22      1  54        0         1
#> 39    15.59      1  37        0         1
#> 111   17.45      1  47        0         1
#> 43.1  12.10      1  61        0         1
#> 189   10.51      1  NA        1         0
#> 45.2  17.42      1  54        0         1
#> 93.1  10.33      1  52        0         1
#> 189.1 10.51      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 117.3 17.46      1  26        0         1
#> 136   21.83      1  43        0         1
#> 97.1  19.14      1  65        0         1
#> 189.2 10.51      1  NA        1         0
#> 64    24.00      0  43        0         0
#> 35    24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 131   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 74    24.00      0  43        0         1
#> 34    24.00      0  36        0         0
#> 7     24.00      0  37        1         0
#> 151   24.00      0  42        0         0
#> 148   24.00      0  61        1         0
#> 122   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 67.1  24.00      0  25        0         0
#> 109   24.00      0  48        0         0
#> 73    24.00      0  NA        0         1
#> 28    24.00      0  67        1         0
#> 160   24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 200   24.00      0  64        0         0
#> 172.1 24.00      0  41        0         0
#> 115   24.00      0  NA        1         0
#> 102   24.00      0  49        0         0
#> 138.1 24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 94    24.00      0  51        0         1
#> 172.2 24.00      0  41        0         0
#> 28.1  24.00      0  67        1         0
#> 174   24.00      0  49        1         0
#> 196   24.00      0  19        0         0
#> 163   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 185.1 24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 21    24.00      0  47        0         0
#> 22    24.00      0  52        1         0
#> 12    24.00      0  63        0         0
#> 48    24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 132.1 24.00      0  55        0         0
#> 95.1  24.00      0  68        0         1
#> 67.2  24.00      0  25        0         0
#> 148.1 24.00      0  61        1         0
#> 19    24.00      0  57        0         1
#> 44    24.00      0  56        0         0
#> 34.1  24.00      0  36        0         0
#> 47    24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 44.1  24.00      0  56        0         0
#> 116   24.00      0  58        0         1
#> 67.3  24.00      0  25        0         0
#> 7.1   24.00      0  37        1         0
#> 142   24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 132.2 24.00      0  55        0         0
#> 75    24.00      0  21        1         0
#> 131.1 24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 22.1  24.00      0  52        1         0
#> 67.4  24.00      0  25        0         0
#> 7.2   24.00      0  37        1         0
#> 148.2 24.00      0  61        1         0
#> 185.2 24.00      0  44        1         0
#> 160.1 24.00      0  31        1         0
#> 115.1 24.00      0  NA        1         0
#> 83    24.00      0   6        0         0
#> 73.1  24.00      0  NA        0         1
#> 165   24.00      0  47        0         0
#> 2     24.00      0   9        0         0
#> 75.1  24.00      0  21        1         0
#> 116.1 24.00      0  58        0         1
#> 116.2 24.00      0  58        0         1
#> 185.3 24.00      0  44        1         0
#> 151.1 24.00      0  42        0         0
#> 74.1  24.00      0  43        0         1
#> 71    24.00      0  51        0         0
#> 20.1  24.00      0  46        1         0
#> 132.3 24.00      0  55        0         0
#> 72    24.00      0  40        0         1
#> 176   24.00      0  43        0         1
#> 34.2  24.00      0  36        0         0
#> 178.1 24.00      0  52        1         0
#> 135   24.00      0  58        1         0
#> 67.5  24.00      0  25        0         0
#> 19.1  24.00      0  57        0         1
#> 143   24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.00          NA        NA      NA
#> 2 age, Cure model           0.0122        NA        NA      NA
#> 3 grade_ii, Cure model      0.593         NA        NA      NA
#> 4 grade_iii, Cure model     1.60          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00223        NA        NA      NA
#> 2 grade_ii, Survival model   1.60           NA        NA      NA
#> 3 grade_iii, Survival model  0.604          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.00375           0.01221           0.59295           1.60496  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.5 
#> Residual Deviance: 240 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.00375151       0.01220947       0.59295474       1.60496416 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002234821      1.600995889      0.603855643 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.80489204 0.66679452 0.86563878 0.88497293 0.98359787 0.52725044
#>   [7] 0.75845874 0.71366654 0.48064656 0.70584014 0.89418680 0.31588123
#>  [13] 0.41054014 0.62505282 0.97352181 0.85052602 0.96647868 0.16903961
#>  [19] 0.99676264 0.56167103 0.65004973 0.73611237 0.92449064 0.62505282
#>  [25] 0.65848147 0.90295542 0.83446904 0.16903961 0.41054014 0.85575067
#>  [31] 0.55022957 0.73611237 0.88958204 0.77220117 0.94828680 0.28332451
#>  [37] 0.31588123 0.48064656 0.66679452 0.88026112 0.97352181 0.96647868
#>  [43] 0.62505282 0.26446647 0.91171183 0.79242058 0.41054014 0.50400405
#>  [49] 0.87542887 0.97352181 0.87059533 0.16903961 0.41054014 0.92449064
#>  [55] 0.79242058 0.28332451 0.05334524 0.81093616 0.61471898 0.71366654
#>  [61] 0.94828680 0.36265287 0.98359787 0.90295542 0.94828680 0.13366915
#>  [67] 0.31588123 0.94434091 0.75845874 0.77220117 0.81693436 0.85575067
#>  [73] 0.99027539 0.37888731 0.94828680 0.92449064 0.89418680 0.50400405
#>  [79] 0.66679452 0.16903961 0.56167103 0.73611237 0.53875387 0.59419967
#>  [85] 0.99027539 0.78570221 0.84004314 0.84004314 0.96283331 0.41054014
#>  [91] 0.05334524 0.91600716 0.41054014 0.93643322 0.58343162 0.82871747
#>  [97] 0.69799717 0.91600716 0.71366654 0.93643322 0.82292625 0.66679452
#> [103] 0.39503487 0.59419967 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    79   117   155   154    77   128   106    45    90    30    37    15    99 
#> 16.23 17.46 13.08 12.63  7.27 20.35 16.67 17.42 20.94 17.43 12.52 22.68 21.19 
#>   134    70    57   187   168    91   170   184    23   107 134.1   110    56 
#> 17.81  7.38 14.46  9.92 23.72  5.33 19.54 17.77 16.92 11.18 17.81 17.56 12.21 
#>   167 168.1  99.1    60   105  23.1   177   171   145    69  15.1  90.1 117.1 
#> 15.55 23.72 21.19 13.15 19.75 16.92 12.53 16.57 10.07 23.23 22.68 20.94 17.46 
#>   140  70.1 187.1 134.2   129    49   192    36    68    14  70.2   123 168.2 
#> 12.68  7.38  9.92 17.81 23.41 12.19 16.44 21.19 20.62 12.89  7.38 13.00 23.72 
#>  36.1 107.1 192.1  69.1    24   188     8  45.1 145.1   169  77.1  56.1 145.2 
#> 21.19 11.18 16.44 23.23 23.89 16.16 18.43 17.42 10.07 22.41  7.27 12.21 10.07 
#>    86  15.2    61 106.1 171.1   100  60.1    25    66 145.3 107.2  37.1  68.1 
#> 23.81 22.68 10.12 16.67 16.57 16.07 13.15  6.32 22.13 10.07 11.18 12.52 20.62 
#> 117.2 168.3 170.1  23.2   150    97  25.1   130    18  18.1   101  99.2  24.1 
#> 17.46 23.72 19.54 16.92 20.33 19.14  6.32 16.47 15.21 15.21  9.97 21.19 23.89 
#>    43  36.2    93    76    39   111  43.1  45.2  93.1   125 117.3   136  97.1 
#> 12.10 21.19 10.33 19.22 15.59 17.45 12.10 17.42 10.33 15.65 17.46 21.83 19.14 
#>    64    35   132   131   185   138    67    74    34     7   151   148   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146  67.1   109    28   160   172   200 172.1   102 138.1   118     1    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.2  28.1   174   196   163    62 185.1    95    21    22    12    48   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1  95.1  67.2 148.1    19    44  34.1    47   182  44.1   116  67.3   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142    20 132.2    75 131.1   178  22.1  67.4   7.2 148.2 185.2 160.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165     2  75.1 116.1 116.2 185.3 151.1  74.1    71  20.1 132.3    72   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.2 178.1   135  67.5  19.1   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[80]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008223425               0.372457362               0.713492800 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.60608479              0.01035568              0.05343098 
#>   grade_iii, Cure model 
#>              1.27550813 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 96    14.54      1  33        0         1
#> 93    10.33      1  52        0         1
#> 85    16.44      1  36        0         0
#> 113   22.86      1  34        0         0
#> 14    12.89      1  21        0         0
#> 179   18.63      1  42        0         0
#> 134   17.81      1  47        1         0
#> 153   21.33      1  55        1         0
#> 76    19.22      1  54        0         1
#> 108   18.29      1  39        0         1
#> 57    14.46      1  45        0         1
#> 59    10.16      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 63    22.77      1  31        1         0
#> 153.1 21.33      1  55        1         0
#> 159   10.55      1  50        0         1
#> 59.1  10.16      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 51    18.23      1  83        0         1
#> 175   21.91      1  43        0         0
#> 24    23.89      1  38        0         0
#> 140   12.68      1  59        1         0
#> 15    22.68      1  48        0         0
#> 140.1 12.68      1  59        1         0
#> 24.1  23.89      1  38        0         0
#> 134.1 17.81      1  47        1         0
#> 97    19.14      1  65        0         1
#> 25     6.32      1  34        1         0
#> 16     8.71      1  71        0         1
#> 114   13.68      1  NA        0         0
#> 16.1   8.71      1  71        0         1
#> 40    18.00      1  28        1         0
#> 52    10.42      1  52        0         1
#> 96.1  14.54      1  33        0         1
#> 14.1  12.89      1  21        0         0
#> 36    21.19      1  48        0         1
#> 139   21.49      1  63        1         0
#> 166   19.98      1  48        0         0
#> 159.1 10.55      1  50        0         1
#> 184   17.77      1  38        0         0
#> 189   10.51      1  NA        1         0
#> 85.1  16.44      1  36        0         0
#> 117   17.46      1  26        0         1
#> 171   16.57      1  41        0         1
#> 99    21.19      1  38        0         1
#> 63.1  22.77      1  31        1         0
#> 99.1  21.19      1  38        0         1
#> 51.1  18.23      1  83        0         1
#> 70     7.38      1  30        1         0
#> 59.2  10.16      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 134.2 17.81      1  47        1         0
#> 140.2 12.68      1  59        1         0
#> 169   22.41      1  46        0         0
#> 42    12.43      1  49        0         1
#> 192   16.44      1  31        1         0
#> 59.3  10.16      1  NA        1         0
#> 153.2 21.33      1  55        1         0
#> 117.1 17.46      1  26        0         1
#> 60    13.15      1  38        1         0
#> 108.1 18.29      1  39        0         1
#> 76.1  19.22      1  54        0         1
#> 66    22.13      1  53        0         0
#> 16.2   8.71      1  71        0         1
#> 167   15.55      1  56        1         0
#> 189.1 10.51      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 89    11.44      1  NA        0         0
#> 130   16.47      1  53        0         1
#> 139.1 21.49      1  63        1         0
#> 166.1 19.98      1  48        0         0
#> 42.1  12.43      1  49        0         1
#> 59.4  10.16      1  NA        1         0
#> 139.2 21.49      1  63        1         0
#> 154   12.63      1  20        1         0
#> 42.2  12.43      1  49        0         1
#> 184.1 17.77      1  38        0         0
#> 68    20.62      1  44        0         0
#> 85.2  16.44      1  36        0         0
#> 88    18.37      1  47        0         0
#> 197   21.60      1  69        1         0
#> 30    17.43      1  78        0         0
#> 139.3 21.49      1  63        1         0
#> 43    12.10      1  61        0         1
#> 85.3  16.44      1  36        0         0
#> 177   12.53      1  75        0         0
#> 130.1 16.47      1  53        0         1
#> 8     18.43      1  32        0         0
#> 25.1   6.32      1  34        1         0
#> 69    23.23      1  25        0         1
#> 30.1  17.43      1  78        0         0
#> 153.3 21.33      1  55        1         0
#> 194   22.40      1  38        0         1
#> 155   13.08      1  26        0         0
#> 41    18.02      1  40        1         0
#> 128   20.35      1  35        0         1
#> 6     15.64      1  39        0         0
#> 158   20.14      1  74        1         0
#> 97.1  19.14      1  65        0         1
#> 170   19.54      1  43        0         1
#> 167.1 15.55      1  56        1         0
#> 41.1  18.02      1  40        1         0
#> 29    15.45      1  68        1         0
#> 108.2 18.29      1  39        0         1
#> 187    9.92      1  39        1         0
#> 170.1 19.54      1  43        0         1
#> 77     7.27      1  67        0         1
#> 6.1   15.64      1  39        0         0
#> 150   20.33      1  48        0         0
#> 78    23.88      1  43        0         0
#> 15.1  22.68      1  48        0         0
#> 114.1 13.68      1  NA        0         0
#> 193   24.00      0  45        0         1
#> 102   24.00      0  49        0         0
#> 185   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 83    24.00      0   6        0         0
#> 75    24.00      0  21        1         0
#> 103   24.00      0  56        1         0
#> 148   24.00      0  61        1         0
#> 182   24.00      0  35        0         0
#> 172   24.00      0  41        0         0
#> 147   24.00      0  76        1         0
#> 143   24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 83.1  24.00      0   6        0         0
#> 65    24.00      0  57        1         0
#> 33    24.00      0  53        0         0
#> 163   24.00      0  66        0         0
#> 131   24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 146   24.00      0  63        1         0
#> 118   24.00      0  44        1         0
#> 148.1 24.00      0  61        1         0
#> 148.2 24.00      0  61        1         0
#> 103.1 24.00      0  56        1         0
#> 87    24.00      0  27        0         0
#> 62    24.00      0  71        0         0
#> 75.1  24.00      0  21        1         0
#> 44    24.00      0  56        0         0
#> 115   24.00      0  NA        1         0
#> 71    24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 33.1  24.00      0  53        0         0
#> 74    24.00      0  43        0         1
#> 53    24.00      0  32        0         1
#> 38.1  24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 54    24.00      0  53        1         0
#> 84    24.00      0  39        0         1
#> 94    24.00      0  51        0         1
#> 115.1 24.00      0  NA        1         0
#> 142   24.00      0  53        0         0
#> 72    24.00      0  40        0         1
#> 172.1 24.00      0  41        0         0
#> 48    24.00      0  31        1         0
#> 94.1  24.00      0  51        0         1
#> 65.1  24.00      0  57        1         0
#> 84.1  24.00      0  39        0         1
#> 64    24.00      0  43        0         0
#> 71.1  24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 28    24.00      0  67        1         0
#> 38.2  24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 12    24.00      0  63        0         0
#> 104   24.00      0  50        1         0
#> 83.2  24.00      0   6        0         0
#> 173   24.00      0  19        0         1
#> 75.2  24.00      0  21        1         0
#> 73.1  24.00      0  NA        0         1
#> 115.2 24.00      0  NA        1         0
#> 19    24.00      0  57        0         1
#> 53.1  24.00      0  32        0         1
#> 83.3  24.00      0   6        0         0
#> 151   24.00      0  42        0         0
#> 135.1 24.00      0  58        1         0
#> 137.1 24.00      0  45        1         0
#> 44.1  24.00      0  56        0         0
#> 142.1 24.00      0  53        0         0
#> 143.2 24.00      0  51        0         0
#> 185.1 24.00      0  44        1         0
#> 104.1 24.00      0  50        1         0
#> 182.1 24.00      0  35        0         0
#> 12.1  24.00      0  63        0         0
#> 160   24.00      0  31        1         0
#> 126.1 24.00      0  48        0         0
#> 64.1  24.00      0  43        0         0
#> 174   24.00      0  49        1         0
#> 33.2  24.00      0  53        0         0
#> 48.1  24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 138   24.00      0  44        1         0
#> 48.2  24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 27    24.00      0  63        1         0
#> 148.3 24.00      0  61        1         0
#> 185.2 24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.606         NA        NA      NA
#> 2 age, Cure model           0.0104        NA        NA      NA
#> 3 grade_ii, Cure model      0.0534        NA        NA      NA
#> 4 grade_iii, Cure model     1.28          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00822        NA        NA      NA
#> 2 grade_ii, Survival model   0.372          NA        NA      NA
#> 3 grade_iii, Survival model  0.713          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.60608           0.01036           0.05343           1.27551  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    254.5 
#> Residual Deviance: 240.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.60608479       0.01035568       0.05343098       1.27550813 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008223425      0.372457362      0.713492800 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.86192020 0.96079172 0.80177941 0.20623706 0.88786942 0.64699185
#>   [7] 0.72343125 0.45829185 0.61574190 0.66964132 0.87238095 0.85656448
#>  [13] 0.23374322 0.45829185 0.94695816 0.79611782 0.69066317 0.37396761
#>  [19] 0.06714489 0.89811336 0.27718497 0.89811336 0.06714489 0.72343125
#>  [25] 0.63184618 0.99150031 0.96985230 0.96985230 0.71694279 0.95620462
#>  [31] 0.86192020 0.88786942 0.50259033 0.40774285 0.58060157 0.94695816
#>  [37] 0.74215537 0.80177941 0.75461402 0.77874760 0.50259033 0.23374322
#>  [43] 0.50259033 0.69066317 0.98286654 0.93743946 0.72343125 0.89811336
#>  [49] 0.31758079 0.92306491 0.80177941 0.45829185 0.75461402 0.87756614
#>  [55] 0.66964132 0.61574190 0.35616023 0.96985230 0.84030740 0.53246228
#>  [61] 0.78467639 0.40774285 0.58060157 0.92306491 0.40774285 0.91308855
#>  [67] 0.92306491 0.74215537 0.54241269 0.80177941 0.66212724 0.39142263
#>  [73] 0.76676618 0.40774285 0.94222731 0.80177941 0.91808829 0.78467639
#>  [79] 0.65457272 0.99150031 0.17750252 0.76676618 0.45829185 0.33785315
#>  [85] 0.88272136 0.70392763 0.55228416 0.82925988 0.57135930 0.63184618
#>  [91] 0.59866297 0.84030740 0.70392763 0.85116926 0.66964132 0.96533264
#>  [97] 0.59866297 0.98720741 0.82925988 0.56186091 0.13955734 0.27718497
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    96    93    85   113    14   179   134   153    76   108    57    18    63 
#> 14.54 10.33 16.44 22.86 12.89 18.63 17.81 21.33 19.22 18.29 14.46 15.21 22.77 
#> 153.1   159   181    51   175    24   140    15 140.1  24.1 134.1    97    25 
#> 21.33 10.55 16.46 18.23 21.91 23.89 12.68 22.68 12.68 23.89 17.81 19.14  6.32 
#>    16  16.1    40    52  96.1  14.1    36   139   166 159.1   184  85.1   117 
#>  8.71  8.71 18.00 10.42 14.54 12.89 21.19 21.49 19.98 10.55 17.77 16.44 17.46 
#>   171    99  63.1  99.1  51.1    70    49 134.2 140.2   169    42   192 153.2 
#> 16.57 21.19 22.77 21.19 18.23  7.38 12.19 17.81 12.68 22.41 12.43 16.44 21.33 
#> 117.1    60 108.1  76.1    66  16.2   167   190   130 139.1 166.1  42.1 139.2 
#> 17.46 13.15 18.29 19.22 22.13  8.71 15.55 20.81 16.47 21.49 19.98 12.43 21.49 
#>   154  42.2 184.1    68  85.2    88   197    30 139.3    43  85.3   177 130.1 
#> 12.63 12.43 17.77 20.62 16.44 18.37 21.60 17.43 21.49 12.10 16.44 12.53 16.47 
#>     8  25.1    69  30.1 153.3   194   155    41   128     6   158  97.1   170 
#> 18.43  6.32 23.23 17.43 21.33 22.40 13.08 18.02 20.35 15.64 20.14 19.14 19.54 
#> 167.1  41.1    29 108.2   187 170.1    77   6.1   150    78  15.1   193   102 
#> 15.55 18.02 15.45 18.29  9.92 19.54  7.27 15.64 20.33 23.88 22.68 24.00 24.00 
#>   185    38     2    83    75   103   148   182   172   147   143   137  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65    33   163   131    67   146   118 148.1 148.2 103.1    87    62  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44    71 143.1  33.1    74    53  38.1   126    54    84    94   142    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1    48  94.1  65.1  84.1    64  71.1   135    28  38.2    12   104  83.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173  75.2    19  53.1  83.3   151 135.1 137.1  44.1 142.1 143.2 185.1 104.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1  12.1   160 126.1  64.1   174  33.2  48.1   112   138  48.2    31    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.3 185.2   178 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[81]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01919427                0.51229392                0.21229392 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.237840142            -0.003692277            -0.371851833 
#>   grade_iii, Cure model 
#>             0.778915481 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 23    16.92      1  61        0         0
#> 166   19.98      1  48        0         0
#> 136   21.83      1  43        0         1
#> 114   13.68      1  NA        0         0
#> 114.1 13.68      1  NA        0         0
#> 123   13.00      1  44        1         0
#> 86    23.81      1  58        0         1
#> 197   21.60      1  69        1         0
#> 90    20.94      1  50        0         1
#> 41    18.02      1  40        1         0
#> 96    14.54      1  33        0         1
#> 108   18.29      1  39        0         1
#> 63    22.77      1  31        1         0
#> 101    9.97      1  10        0         1
#> 57    14.46      1  45        0         1
#> 52    10.42      1  52        0         1
#> 133   14.65      1  57        0         0
#> 111   17.45      1  47        0         1
#> 175   21.91      1  43        0         0
#> 166.1 19.98      1  48        0         0
#> 129   23.41      1  53        1         0
#> 30    17.43      1  78        0         0
#> 25     6.32      1  34        1         0
#> 79    16.23      1  54        1         0
#> 49    12.19      1  48        1         0
#> 85    16.44      1  36        0         0
#> 181   16.46      1  45        0         1
#> 139   21.49      1  63        1         0
#> 14    12.89      1  21        0         0
#> 61    10.12      1  36        0         1
#> 181.1 16.46      1  45        0         1
#> 57.1  14.46      1  45        0         1
#> 164   23.60      1  76        0         1
#> 169   22.41      1  46        0         0
#> 199   19.81      1  NA        0         1
#> 181.2 16.46      1  45        0         1
#> 189   10.51      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 175.1 21.91      1  43        0         0
#> 4     17.64      1  NA        0         1
#> 81    14.06      1  34        0         0
#> 8     18.43      1  32        0         0
#> 69    23.23      1  25        0         1
#> 45    17.42      1  54        0         1
#> 159   10.55      1  50        0         1
#> 18    15.21      1  49        1         0
#> 183    9.24      1  67        1         0
#> 32    20.90      1  37        1         0
#> 101.1  9.97      1  10        0         1
#> 23.1  16.92      1  61        0         0
#> 125   15.65      1  67        1         0
#> 81.1  14.06      1  34        0         0
#> 168   23.72      1  70        0         0
#> 56    12.21      1  60        0         0
#> 139.1 21.49      1  63        1         0
#> 26    15.77      1  49        0         1
#> 92    22.92      1  47        0         1
#> 15    22.68      1  48        0         0
#> 88    18.37      1  47        0         0
#> 184   17.77      1  38        0         0
#> 6     15.64      1  39        0         0
#> 32.1  20.90      1  37        1         0
#> 149    8.37      1  33        1         0
#> 49.1  12.19      1  48        1         0
#> 15.1  22.68      1  48        0         0
#> 52.1  10.42      1  52        0         1
#> 134   17.81      1  47        1         0
#> 51    18.23      1  83        0         1
#> 25.1   6.32      1  34        1         0
#> 43    12.10      1  61        0         1
#> 6.1   15.64      1  39        0         0
#> 113   22.86      1  34        0         0
#> 190   20.81      1  42        1         0
#> 18.1  15.21      1  49        1         0
#> 58    19.34      1  39        0         0
#> 66    22.13      1  53        0         0
#> 124    9.73      1  NA        1         0
#> 90.1  20.94      1  50        0         1
#> 26.1  15.77      1  49        0         1
#> 106   16.67      1  49        1         0
#> 4.1   17.64      1  NA        0         1
#> 69.1  23.23      1  25        0         1
#> 99    21.19      1  38        0         1
#> 133.1 14.65      1  57        0         0
#> 26.2  15.77      1  49        0         1
#> 169.1 22.41      1  46        0         0
#> 6.2   15.64      1  39        0         0
#> 8.1   18.43      1  32        0         0
#> 90.2  20.94      1  50        0         1
#> 168.1 23.72      1  70        0         0
#> 88.1  18.37      1  47        0         0
#> 159.1 10.55      1  50        0         1
#> 149.1  8.37      1  33        1         0
#> 136.1 21.83      1  43        0         1
#> 39    15.59      1  37        0         1
#> 5     16.43      1  51        0         1
#> 114.2 13.68      1  NA        0         0
#> 170   19.54      1  43        0         1
#> 187    9.92      1  39        1         0
#> 79.1  16.23      1  54        1         0
#> 26.3  15.77      1  49        0         1
#> 180   14.82      1  37        0         0
#> 93    10.33      1  52        0         1
#> 96.1  14.54      1  33        0         1
#> 5.1   16.43      1  51        0         1
#> 149.2  8.37      1  33        1         0
#> 190.1 20.81      1  42        1         0
#> 117   17.46      1  26        0         1
#> 6.3   15.64      1  39        0         0
#> 168.2 23.72      1  70        0         0
#> 13    14.34      1  54        0         1
#> 97    19.14      1  65        0         1
#> 7     24.00      0  37        1         0
#> 19    24.00      0  57        0         1
#> 84    24.00      0  39        0         1
#> 118   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 173   24.00      0  19        0         1
#> 163   24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 62    24.00      0  71        0         0
#> 22    24.00      0  52        1         0
#> 137.1 24.00      0  45        1         0
#> 141   24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 65    24.00      0  57        1         0
#> 131   24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 22.1  24.00      0  52        1         0
#> 72    24.00      0  40        0         1
#> 182   24.00      0  35        0         0
#> 132   24.00      0  55        0         0
#> 137.2 24.00      0  45        1         0
#> 2     24.00      0   9        0         0
#> 62.1  24.00      0  71        0         0
#> 163.1 24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 102   24.00      0  49        0         0
#> 163.2 24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 185   24.00      0  44        1         0
#> 62.2  24.00      0  71        0         0
#> 126   24.00      0  48        0         0
#> 182.1 24.00      0  35        0         0
#> 12    24.00      0  63        0         0
#> 75    24.00      0  21        1         0
#> 142   24.00      0  53        0         0
#> 186   24.00      0  45        1         0
#> 173.1 24.00      0  19        0         1
#> 104   24.00      0  50        1         0
#> 20.1  24.00      0  46        1         0
#> 142.1 24.00      0  53        0         0
#> 146   24.00      0  63        1         0
#> 53    24.00      0  32        0         1
#> 84.1  24.00      0  39        0         1
#> 109   24.00      0  48        0         0
#> 109.1 24.00      0  48        0         0
#> 186.1 24.00      0  45        1         0
#> 138   24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 109.2 24.00      0  48        0         0
#> 95.1  24.00      0  68        0         1
#> 148   24.00      0  61        1         0
#> 82    24.00      0  34        0         0
#> 54    24.00      0  53        1         0
#> 147   24.00      0  76        1         0
#> 182.2 24.00      0  35        0         0
#> 121   24.00      0  57        1         0
#> 27    24.00      0  63        1         0
#> 142.2 24.00      0  53        0         0
#> 75.1  24.00      0  21        1         0
#> 172   24.00      0  41        0         0
#> 19.1  24.00      0  57        0         1
#> 87    24.00      0  27        0         0
#> 200   24.00      0  64        0         0
#> 103.1 24.00      0  56        1         0
#> 156   24.00      0  50        1         0
#> 38    24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 95.2  24.00      0  68        0         1
#> 120   24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 191   24.00      0  60        0         1
#> 173.2 24.00      0  19        0         1
#> 172.1 24.00      0  41        0         0
#> 146.1 24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 21    24.00      0  47        0         0
#> 84.2  24.00      0  39        0         1
#> 118.1 24.00      0  44        1         0
#> 132.1 24.00      0  55        0         0
#> 160   24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 160.1 24.00      0  31        1         0
#> 48.1  24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 116   24.00      0  58        0         1
#> 119   24.00      0  17        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.238          NA        NA      NA
#> 2 age, Cure model         -0.00369        NA        NA      NA
#> 3 grade_ii, Cure model    -0.372          NA        NA      NA
#> 4 grade_iii, Cure model    0.779          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0192        NA        NA      NA
#> 2 grade_ii, Survival model    0.512         NA        NA      NA
#> 3 grade_iii, Survival model   0.212         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.237840         -0.003692         -0.371852          0.778915  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 254.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.237840142     -0.003692277     -0.371851833      0.778915481 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01919427       0.51229392       0.21229392 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 2.323450e-01 9.596737e-02 3.279753e-02 6.340389e-01 8.145990e-06
#>   [6] 4.048507e-02 5.862002e-02 1.722845e-01 5.326135e-01 1.565303e-01
#>  [11] 1.044626e-02 8.442290e-01 5.606763e-01 7.763429e-01 5.050502e-01
#>  [16] 2.055269e-01 2.585902e-02 9.596737e-02 2.345398e-03 2.142093e-01
#>  [21] 9.649777e-01 3.230444e-01 6.801458e-01 2.910664e-01 2.611557e-01
#>  [26] 4.476926e-02 6.492466e-01 8.269697e-01 2.611557e-01 5.606763e-01
#>  [31] 1.191407e-03 1.713820e-02 2.611557e-01 7.274362e-01 2.585902e-02
#>  [36] 6.041883e-01 1.278081e-01 3.793333e-03 2.231737e-01 7.436085e-01
#>  [41] 4.653441e-01 8.956762e-01 7.389552e-02 8.442290e-01 2.323450e-01
#>  [46] 3.907300e-01 6.041883e-01 9.553814e-05 6.645734e-01 4.476926e-02
#>  [51] 3.451015e-01 6.600868e-03 1.250734e-02 1.417369e-01 1.886108e-01
#>  [56] 4.028737e-01 7.389552e-02 9.131678e-01 6.801458e-01 1.250734e-02
#>  [61] 7.763429e-01 1.803880e-01 1.642660e-01 9.649777e-01 7.114093e-01
#>  [66] 4.028737e-01 8.418139e-03 8.474777e-02 4.653441e-01 1.144190e-01
#>  [71] 2.264635e-02 5.862002e-02 3.451015e-01 2.513399e-01 3.793333e-03
#>  [76] 5.375172e-02 5.050502e-01 3.451015e-01 1.713820e-02 4.028737e-01
#>  [81] 1.278081e-01 5.862002e-02 9.553814e-05 1.417369e-01 7.436085e-01
#>  [86] 9.131678e-01 3.279753e-02 4.523003e-01 3.015855e-01 1.080371e-01
#>  [91] 8.783667e-01 3.230444e-01 3.451015e-01 4.915714e-01 8.098463e-01
#>  [96] 5.326135e-01 3.015855e-01 9.131678e-01 8.474777e-02 1.970236e-01
#> [101] 4.028737e-01 9.553814e-05 5.894281e-01 1.209941e-01 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    23   166   136   123    86   197    90    41    96   108    63   101    57 
#> 16.92 19.98 21.83 13.00 23.81 21.60 20.94 18.02 14.54 18.29 22.77  9.97 14.46 
#>    52   133   111   175 166.1   129    30    25    79    49    85   181   139 
#> 10.42 14.65 17.45 21.91 19.98 23.41 17.43  6.32 16.23 12.19 16.44 16.46 21.49 
#>    14    61 181.1  57.1   164   169 181.2   107 175.1    81     8    69    45 
#> 12.89 10.12 16.46 14.46 23.60 22.41 16.46 11.18 21.91 14.06 18.43 23.23 17.42 
#>   159    18   183    32 101.1  23.1   125  81.1   168    56 139.1    26    92 
#> 10.55 15.21  9.24 20.90  9.97 16.92 15.65 14.06 23.72 12.21 21.49 15.77 22.92 
#>    15    88   184     6  32.1   149  49.1  15.1  52.1   134    51  25.1    43 
#> 22.68 18.37 17.77 15.64 20.90  8.37 12.19 22.68 10.42 17.81 18.23  6.32 12.10 
#>   6.1   113   190  18.1    58    66  90.1  26.1   106  69.1    99 133.1  26.2 
#> 15.64 22.86 20.81 15.21 19.34 22.13 20.94 15.77 16.67 23.23 21.19 14.65 15.77 
#> 169.1   6.2   8.1  90.2 168.1  88.1 159.1 149.1 136.1    39     5   170   187 
#> 22.41 15.64 18.43 20.94 23.72 18.37 10.55  8.37 21.83 15.59 16.43 19.54  9.92 
#>  79.1  26.3   180    93  96.1   5.1 149.2 190.1   117   6.3 168.2    13    97 
#> 16.23 15.77 14.82 10.33 14.54 16.43  8.37 20.81 17.46 15.64 23.72 14.34 19.14 
#>     7    19    84   118    35     1   173   163   137    62    22 137.1   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176    65   131   103  22.1    72   182   132 137.2     2  62.1 163.1    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102 163.2    95   185  62.2   126 182.1    12    75   142   186 173.1   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1 142.1   146    53  84.1   109 109.1 186.1   138    28 109.2  95.1   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82    54   147 182.2   121    27 142.2  75.1   172  19.1    87   200 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156    38   143  95.2   120   174   191 173.2 172.1 146.1    98    21  84.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.1 132.1   160    48    34 160.1  48.1   152   116   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[82]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                 0.0116019                 0.7149549                 0.7853847 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.74390045              0.01255045             -0.05856095 
#>   grade_iii, Cure model 
#>              1.27555366 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 166   19.98      1  48        0         0
#> 195   11.76      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 101    9.97      1  10        0         1
#> 150   20.33      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 18.1  15.21      1  49        1         0
#> 79    16.23      1  54        1         0
#> 36    21.19      1  48        0         1
#> 113   22.86      1  34        0         0
#> 124.1  9.73      1  NA        1         0
#> 50    10.02      1  NA        1         0
#> 195.1 11.76      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 81    14.06      1  34        0         0
#> 192   16.44      1  31        1         0
#> 158   20.14      1  74        1         0
#> 41    18.02      1  40        1         0
#> 100   16.07      1  60        0         0
#> 177   12.53      1  75        0         0
#> 110   17.56      1  65        0         1
#> 10    10.53      1  34        0         0
#> 15    22.68      1  48        0         0
#> 127    3.53      1  62        0         1
#> 140   12.68      1  59        1         0
#> 133   14.65      1  57        0         0
#> 78    23.88      1  43        0         0
#> 188   16.16      1  46        0         1
#> 13    14.34      1  54        0         1
#> 39    15.59      1  37        0         1
#> 129   23.41      1  53        1         0
#> 55    19.34      1  69        0         1
#> 168   23.72      1  70        0         0
#> 171   16.57      1  41        0         1
#> 150.1 20.33      1  48        0         0
#> 183    9.24      1  67        1         0
#> 92    22.92      1  47        0         1
#> 16     8.71      1  71        0         1
#> 136   21.83      1  43        0         1
#> 93    10.33      1  52        0         1
#> 127.1  3.53      1  62        0         1
#> 66.1  22.13      1  53        0         0
#> 113.1 22.86      1  34        0         0
#> 40    18.00      1  28        1         0
#> 26    15.77      1  49        0         1
#> 89    11.44      1  NA        0         0
#> 15.1  22.68      1  48        0         0
#> 90    20.94      1  50        0         1
#> 18.2  15.21      1  49        1         0
#> 96    14.54      1  33        0         1
#> 110.1 17.56      1  65        0         1
#> 140.1 12.68      1  59        1         0
#> 159   10.55      1  50        0         1
#> 16.1   8.71      1  71        0         1
#> 5     16.43      1  51        0         1
#> 139   21.49      1  63        1         0
#> 40.1  18.00      1  28        1         0
#> 149    8.37      1  33        1         0
#> 63    22.77      1  31        1         0
#> 16.2   8.71      1  71        0         1
#> 52    10.42      1  52        0         1
#> 50.1  10.02      1  NA        1         0
#> 93.1  10.33      1  52        0         1
#> 157   15.10      1  47        0         0
#> 179   18.63      1  42        0         0
#> 145   10.07      1  65        1         0
#> 187    9.92      1  39        1         0
#> 10.1  10.53      1  34        0         0
#> 14    12.89      1  21        0         0
#> 91     5.33      1  61        0         1
#> 145.1 10.07      1  65        1         0
#> 140.2 12.68      1  59        1         0
#> 111   17.45      1  47        0         1
#> 5.1   16.43      1  51        0         1
#> 179.1 18.63      1  42        0         0
#> 41.1  18.02      1  40        1         0
#> 13.1  14.34      1  54        0         1
#> 192.1 16.44      1  31        1         0
#> 127.2  3.53      1  62        0         1
#> 108   18.29      1  39        0         1
#> 100.1 16.07      1  60        0         0
#> 179.2 18.63      1  42        0         0
#> 107   11.18      1  54        1         0
#> 175   21.91      1  43        0         0
#> 69    23.23      1  25        0         1
#> 78.1  23.88      1  43        0         0
#> 159.1 10.55      1  50        0         1
#> 18.3  15.21      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 140.3 12.68      1  59        1         0
#> 171.1 16.57      1  41        0         1
#> 13.2  14.34      1  54        0         1
#> 158.1 20.14      1  74        1         0
#> 123   13.00      1  44        1         0
#> 40.2  18.00      1  28        1         0
#> 107.1 11.18      1  54        1         0
#> 187.1  9.92      1  39        1         0
#> 106   16.67      1  49        1         0
#> 86    23.81      1  58        0         1
#> 130   16.47      1  53        0         1
#> 127.3  3.53      1  62        0         1
#> 139.1 21.49      1  63        1         0
#> 91.1   5.33      1  61        0         1
#> 189.1 10.51      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 63.1  22.77      1  31        1         0
#> 37    12.52      1  57        1         0
#> 90.1  20.94      1  50        0         1
#> 66.2  22.13      1  53        0         0
#> 89.1  11.44      1  NA        0         0
#> 188.1 16.16      1  46        0         1
#> 61    10.12      1  36        0         1
#> 74    24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 143   24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 21    24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 135   24.00      0  58        1         0
#> 48    24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 3     24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 165   24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 112   24.00      0  61        0         0
#> 20    24.00      0  46        1         0
#> 1     24.00      0  23        1         0
#> 118   24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 182   24.00      0  35        0         0
#> 47    24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 20.1  24.00      0  46        1         0
#> 71    24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 118.1 24.00      0  44        1         0
#> 109.1 24.00      0  48        0         0
#> 112.1 24.00      0  61        0         0
#> 174   24.00      0  49        1         0
#> 74.1  24.00      0  43        0         1
#> 198   24.00      0  66        0         1
#> 103   24.00      0  56        1         0
#> 95    24.00      0  68        0         1
#> 27.1  24.00      0  63        1         0
#> 20.2  24.00      0  46        1         0
#> 67    24.00      0  25        0         0
#> 46    24.00      0  71        0         0
#> 104   24.00      0  50        1         0
#> 109.2 24.00      0  48        0         0
#> 135.1 24.00      0  58        1         0
#> 98    24.00      0  34        1         0
#> 144.1 24.00      0  28        0         1
#> 143.1 24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 64    24.00      0  43        0         0
#> 109.3 24.00      0  48        0         0
#> 38    24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 186   24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 1.1   24.00      0  23        1         0
#> 172   24.00      0  41        0         0
#> 22    24.00      0  52        1         0
#> 95.1  24.00      0  68        0         1
#> 103.1 24.00      0  56        1         0
#> 200.1 24.00      0  64        0         0
#> 148   24.00      0  61        1         0
#> 73    24.00      0  NA        0         1
#> 75    24.00      0  21        1         0
#> 67.1  24.00      0  25        0         0
#> 46.1  24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 20.3  24.00      0  46        1         0
#> 186.1 24.00      0  45        1         0
#> 156   24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 75.1  24.00      0  21        1         0
#> 115   24.00      0  NA        1         0
#> 54    24.00      0  53        1         0
#> 65    24.00      0  57        1         0
#> 132   24.00      0  55        0         0
#> 178.1 24.00      0  52        1         0
#> 160.2 24.00      0  31        1         0
#> 186.2 24.00      0  45        1         0
#> 112.2 24.00      0  61        0         0
#> 121   24.00      0  57        1         0
#> 21.1  24.00      0  47        0         0
#> 62    24.00      0  71        0         0
#> 74.2  24.00      0  43        0         1
#> 103.2 24.00      0  56        1         0
#> 80.1  24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 102   24.00      0  49        0         0
#> 17    24.00      0  38        0         1
#> 54.1  24.00      0  53        1         0
#> 87    24.00      0  27        0         0
#> 162   24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.744         NA        NA      NA
#> 2 age, Cure model           0.0126        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0586        NA        NA      NA
#> 4 grade_iii, Cure model     1.28          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0116        NA        NA      NA
#> 2 grade_ii, Survival model    0.715         NA        NA      NA
#> 3 grade_iii, Survival model   0.785         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.74390           0.01255          -0.05856           1.27555  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 243.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.74390045       0.01255045      -0.05856095       1.27555366 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>        0.0116019        0.7149549        0.7853847 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6533991 0.8321474 0.9557444 0.6186897 0.8321474 0.7973570 0.5799379
#>   [8] 0.3962996 0.4916656 0.8762543 0.7757958 0.6369459 0.6995847 0.8125715
#>  [15] 0.9045353 0.7337681 0.9272680 0.4624572 0.9881532 0.8888420 0.8546581
#>  [22] 0.1424120 0.8025579 0.8635961 0.8273385 0.3300414 0.6616008 0.2981643
#>  [29] 0.7585529 0.6186897 0.9658898 0.3772875 0.9692178 0.5453444 0.9382558
#>  [36] 0.9881532 0.4916656 0.3962996 0.7137338 0.8224625 0.4624572 0.5904281
#>  [43] 0.8321474 0.8591529 0.7337681 0.8888420 0.9198906 0.9692178 0.7867952
#>  [50] 0.5580372 0.7137338 0.9787752 0.4318073 0.9692178 0.9346171 0.9382558
#>  [57] 0.8501410 0.6694257 0.9488784 0.9591656 0.9272680 0.8846659 0.9819507
#>  [64] 0.9488784 0.8888420 0.7463437 0.7867952 0.6694257 0.6995847 0.8635961
#>  [71] 0.7757958 0.9881532 0.6921330 0.8125715 0.6694257 0.9123364 0.5318302
#>  [78] 0.3551746 0.1424120 0.9198906 0.8321474 0.8888420 0.7585529 0.8635961
#>  [85] 0.6369459 0.8804842 0.7137338 0.9123364 0.9591656 0.7525129 0.2613691
#>  [92] 0.7701207 0.9881532 0.5580372 0.9819507 0.6092849 0.4318073 0.9084607
#>  [99] 0.5904281 0.4916656 0.8025579 0.9453536 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   166    18   101   150  18.1    79    36   113    66    81   192   158    41 
#> 19.98 15.21  9.97 20.33 15.21 16.23 21.19 22.86 22.13 14.06 16.44 20.14 18.02 
#>   100   177   110    10    15   127   140   133    78   188    13    39   129 
#> 16.07 12.53 17.56 10.53 22.68  3.53 12.68 14.65 23.88 16.16 14.34 15.59 23.41 
#>    55   168   171 150.1   183    92    16   136    93 127.1  66.1 113.1    40 
#> 19.34 23.72 16.57 20.33  9.24 22.92  8.71 21.83 10.33  3.53 22.13 22.86 18.00 
#>    26  15.1    90  18.2    96 110.1 140.1   159  16.1     5   139  40.1   149 
#> 15.77 22.68 20.94 15.21 14.54 17.56 12.68 10.55  8.71 16.43 21.49 18.00  8.37 
#>    63  16.2    52  93.1   157   179   145   187  10.1    14    91 145.1 140.2 
#> 22.77  8.71 10.42 10.33 15.10 18.63 10.07  9.92 10.53 12.89  5.33 10.07 12.68 
#>   111   5.1 179.1  41.1  13.1 192.1 127.2   108 100.1 179.2   107   175    69 
#> 17.45 16.43 18.63 18.02 14.34 16.44  3.53 18.29 16.07 18.63 11.18 21.91 23.23 
#>  78.1 159.1  18.3 140.3 171.1  13.2 158.1   123  40.2 107.1 187.1   106    86 
#> 23.88 10.55 15.21 12.68 16.57 14.34 20.14 13.00 18.00 11.18  9.92 16.67 23.81 
#>   130 127.3 139.1  91.1    68  63.1    37  90.1  66.2 188.1    61    74    27 
#> 16.47  3.53 21.49  5.33 20.62 22.77 12.52 20.94 22.13 16.16 10.12 24.00 24.00 
#>   143   200    21   151   135    48   176     3   109   165   144   112    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1   118    28   182    47   138  20.1    71   160 160.1    80 118.1 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1   174  74.1   198   103    95  27.1  20.2    67    46   104 109.2 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98 144.1 143.1   137    64 109.3    38   178   186    33   1.1   172    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.1 103.1 200.1   148    75  67.1  46.1   173  20.3 186.1   156     7  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54    65   132 178.1 160.2 186.2 112.2   121  21.1    62  74.2 103.2  80.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191   102    17  54.1    87   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[83]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                -0.0185417                 0.3219719                 0.3142370 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.03075475              0.00467774             -0.38572447 
#>   grade_iii, Cure model 
#>              0.34839956 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 51    18.23      1  83        0         1
#> 56    12.21      1  60        0         0
#> 197   21.60      1  69        1         0
#> 150   20.33      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 96    14.54      1  33        0         1
#> 129   23.41      1  53        1         0
#> 157   15.10      1  47        0         0
#> 70     7.38      1  30        1         0
#> 175   21.91      1  43        0         0
#> 106   16.67      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 189.1 10.51      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 79    16.23      1  54        1         0
#> 197.1 21.60      1  69        1         0
#> 139   21.49      1  63        1         0
#> 127    3.53      1  62        0         1
#> 170   19.54      1  43        0         1
#> 92    22.92      1  47        0         1
#> 96.1  14.54      1  33        0         1
#> 187    9.92      1  39        1         0
#> 85    16.44      1  36        0         0
#> 158   20.14      1  74        1         0
#> 63    22.77      1  31        1         0
#> 51.1  18.23      1  83        0         1
#> 45    17.42      1  54        0         1
#> 188   16.16      1  46        0         1
#> 26    15.77      1  49        0         1
#> 168   23.72      1  70        0         0
#> 184   17.77      1  38        0         0
#> 130   16.47      1  53        0         1
#> 77     7.27      1  67        0         1
#> 85.1  16.44      1  36        0         0
#> 111   17.45      1  47        0         1
#> 171   16.57      1  41        0         1
#> 155   13.08      1  26        0         0
#> 171.1 16.57      1  41        0         1
#> 90    20.94      1  50        0         1
#> 155.1 13.08      1  26        0         0
#> 110   17.56      1  65        0         1
#> 4     17.64      1  NA        0         1
#> 14    12.89      1  21        0         0
#> 70.1   7.38      1  30        1         0
#> 180   14.82      1  37        0         0
#> 88    18.37      1  47        0         0
#> 100   16.07      1  60        0         0
#> 86    23.81      1  58        0         1
#> 91     5.33      1  61        0         1
#> 50    10.02      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 154   12.63      1  20        1         0
#> 100.1 16.07      1  60        0         0
#> 170.1 19.54      1  43        0         1
#> 96.2  14.54      1  33        0         1
#> 129.1 23.41      1  53        1         0
#> 81    14.06      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 78    23.88      1  43        0         0
#> 159   10.55      1  50        0         1
#> 139.1 21.49      1  63        1         0
#> 197.2 21.60      1  69        1         0
#> 101    9.97      1  10        0         1
#> 154.1 12.63      1  20        1         0
#> 99    21.19      1  38        0         1
#> 55    19.34      1  69        0         1
#> 30    17.43      1  78        0         0
#> 157.1 15.10      1  47        0         0
#> 190   20.81      1  42        1         0
#> 170.2 19.54      1  43        0         1
#> 86.1  23.81      1  58        0         1
#> 183    9.24      1  67        1         0
#> 145   10.07      1  65        1         0
#> 114.1 13.68      1  NA        0         0
#> 171.2 16.57      1  41        0         1
#> 130.1 16.47      1  53        0         1
#> 136   21.83      1  43        0         1
#> 169   22.41      1  46        0         0
#> 175.1 21.91      1  43        0         0
#> 24    23.89      1  38        0         0
#> 66    22.13      1  53        0         0
#> 59    10.16      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 155.2 13.08      1  26        0         0
#> 101.1  9.97      1  10        0         1
#> 5     16.43      1  51        0         1
#> 153   21.33      1  55        1         0
#> 158.1 20.14      1  74        1         0
#> 93    10.33      1  52        0         1
#> 91.1   5.33      1  61        0         1
#> 101.2  9.97      1  10        0         1
#> 15    22.68      1  48        0         0
#> 23    16.92      1  61        0         0
#> 170.3 19.54      1  43        0         1
#> 197.3 21.60      1  69        1         0
#> 139.2 21.49      1  63        1         0
#> 113   22.86      1  34        0         0
#> 181   16.46      1  45        0         1
#> 106.1 16.67      1  49        1         0
#> 25     6.32      1  34        1         0
#> 130.2 16.47      1  53        0         1
#> 154.2 12.63      1  20        1         0
#> 86.2  23.81      1  58        0         1
#> 16     8.71      1  71        0         1
#> 111.1 17.45      1  47        0         1
#> 69    23.23      1  25        0         1
#> 129.2 23.41      1  53        1         0
#> 51.2  18.23      1  83        0         1
#> 37    12.52      1  57        1         0
#> 181.1 16.46      1  45        0         1
#> 164   23.60      1  76        0         1
#> 166   19.98      1  48        0         0
#> 115   24.00      0  NA        1         0
#> 87    24.00      0  27        0         0
#> 84    24.00      0  39        0         1
#> 28    24.00      0  67        1         0
#> 119   24.00      0  17        0         0
#> 193   24.00      0  45        0         1
#> 118   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 103   24.00      0  56        1         0
#> 165   24.00      0  47        0         0
#> 161   24.00      0  45        0         0
#> 62    24.00      0  71        0         0
#> 48    24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 33    24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 104   24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 72.1  24.00      0  40        0         1
#> 28.1  24.00      0  67        1         0
#> 95    24.00      0  68        0         1
#> 22    24.00      0  52        1         0
#> 75    24.00      0  21        1         0
#> 141   24.00      0  44        1         0
#> 95.1  24.00      0  68        0         1
#> 118.1 24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 75.1  24.00      0  21        1         0
#> 148   24.00      0  61        1         0
#> 137   24.00      0  45        1         0
#> 104.1 24.00      0  50        1         0
#> 182   24.00      0  35        0         0
#> 119.1 24.00      0  17        0         0
#> 65    24.00      0  57        1         0
#> 65.1  24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 118.2 24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 95.2  24.00      0  68        0         1
#> 72.2  24.00      0  40        0         1
#> 73    24.00      0  NA        0         1
#> 9     24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 94.1  24.00      0  51        0         1
#> 95.3  24.00      0  68        0         1
#> 147   24.00      0  76        1         0
#> 186   24.00      0  45        1         0
#> 19    24.00      0  57        0         1
#> 17    24.00      0  38        0         1
#> 33.1  24.00      0  53        0         0
#> 193.1 24.00      0  45        0         1
#> 191   24.00      0  60        0         1
#> 46    24.00      0  71        0         0
#> 7     24.00      0  37        1         0
#> 135   24.00      0  58        1         0
#> 80    24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 121   24.00      0  57        1         0
#> 3     24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 104.2 24.00      0  50        1         0
#> 19.1  24.00      0  57        0         1
#> 173   24.00      0  19        0         1
#> 174   24.00      0  49        1         0
#> 34    24.00      0  36        0         0
#> 44    24.00      0  56        0         0
#> 116   24.00      0  58        0         1
#> 11.1  24.00      0  42        0         1
#> 142   24.00      0  53        0         0
#> 193.2 24.00      0  45        0         1
#> 21    24.00      0  47        0         0
#> 144.1 24.00      0  28        0         1
#> 34.1  24.00      0  36        0         0
#> 116.1 24.00      0  58        0         1
#> 34.2  24.00      0  36        0         0
#> 38    24.00      0  31        1         0
#> 7.1   24.00      0  37        1         0
#> 62.1  24.00      0  71        0         0
#> 121.1 24.00      0  57        1         0
#> 160.1 24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 2     24.00      0   9        0         0
#> 135.2 24.00      0  58        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0308         NA        NA      NA
#> 2 age, Cure model          0.00468        NA        NA      NA
#> 3 grade_ii, Cure model    -0.386          NA        NA      NA
#> 4 grade_iii, Cure model    0.348          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0185        NA        NA      NA
#> 2 grade_ii, Survival model    0.322         NA        NA      NA
#> 3 grade_iii, Survival model   0.314         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.030755          0.004678         -0.385724          0.348400  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 257 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.03075475       0.00467774      -0.38572447       0.34839956 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.0185417        0.3219719        0.3142370 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 1.561188e-01 7.001971e-01 3.768724e-02 8.938163e-02 5.084356e-01
#>   [6] 5.099975e-03 4.667097e-01 8.791687e-01 2.753251e-02 2.453254e-01
#>  [11] 8.623104e-01 3.889603e-01 3.768724e-02 5.334684e-02 9.822000e-01
#>  [16] 1.144565e-01 1.196308e-02 5.084356e-01 8.125958e-01 3.529605e-01
#>  [21] 9.531516e-02 1.652403e-02 1.561188e-01 2.255254e-01 4.014048e-01
#>  [26] 4.398847e-01 2.481629e-03 1.803191e-01 2.969973e-01 9.128294e-01
#>  [31] 3.529605e-01 1.978853e-01 2.657230e-01 5.652980e-01 2.657230e-01
#>  [36] 7.810096e-02 5.652980e-01 1.889818e-01 6.093441e-01 8.791687e-01
#>  [41] 4.942626e-01 1.484809e-01 4.140121e-01 6.909094e-04 9.472776e-01
#>  [46] 6.690864e-01 6.245158e-01 4.140121e-01 1.144565e-01 5.084356e-01
#>  [51] 5.099975e-03 5.506657e-01 2.397632e-04 7.160827e-01 5.334684e-02
#>  [56] 3.768724e-02 7.647777e-01 6.245158e-01 7.270675e-02 1.410649e-01
#>  [61] 2.159718e-01 4.667097e-01 8.367155e-02 1.144565e-01 6.909094e-04
#>  [66] 8.289667e-01 7.483502e-01 2.657230e-01 2.969973e-01 3.409244e-02
#>  [71] 2.161560e-02 2.753251e-02 3.171042e-05 2.446220e-02 4.531950e-01
#>  [76] 5.652980e-01 7.647777e-01 3.767090e-01 6.743896e-02 9.531516e-02
#>  [81] 7.321315e-01 9.472776e-01 7.647777e-01 1.896919e-02 2.352844e-01
#>  [86] 1.144565e-01 3.768724e-02 5.334684e-02 1.415758e-02 3.299658e-01
#>  [91] 2.453254e-01 9.300112e-01 2.969973e-01 6.245158e-01 6.909094e-04
#>  [96] 8.455345e-01 1.978853e-01 9.928582e-03 5.099975e-03 1.561188e-01
#> [101] 6.845497e-01 3.299658e-01 3.635317e-03 1.077920e-01 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    51    56   197   150    96   129   157    70   175   106   149    79 197.1 
#> 18.23 12.21 21.60 20.33 14.54 23.41 15.10  7.38 21.91 16.67  8.37 16.23 21.60 
#>   139   127   170    92  96.1   187    85   158    63  51.1    45   188    26 
#> 21.49  3.53 19.54 22.92 14.54  9.92 16.44 20.14 22.77 18.23 17.42 16.16 15.77 
#>   168   184   130    77  85.1   111   171   155 171.1    90 155.1   110    14 
#> 23.72 17.77 16.47  7.27 16.44 17.45 16.57 13.08 16.57 20.94 13.08 17.56 12.89 
#>  70.1   180    88   100    86    91   177   154 100.1 170.1  96.2 129.1    81 
#>  7.38 14.82 18.37 16.07 23.81  5.33 12.53 12.63 16.07 19.54 14.54 23.41 14.06 
#>    78   159 139.1 197.2   101 154.1    99    55    30 157.1   190 170.2  86.1 
#> 23.88 10.55 21.49 21.60  9.97 12.63 21.19 19.34 17.43 15.10 20.81 19.54 23.81 
#>   183   145 171.2 130.1   136   169 175.1    24    66     6 155.2 101.1     5 
#>  9.24 10.07 16.57 16.47 21.83 22.41 21.91 23.89 22.13 15.64 13.08  9.97 16.43 
#>   153 158.1    93  91.1 101.2    15    23 170.3 197.3 139.2   113   181 106.1 
#> 21.33 20.14 10.33  5.33  9.97 22.68 16.92 19.54 21.60 21.49 22.86 16.46 16.67 
#>    25 130.2 154.2  86.2    16 111.1    69 129.2  51.2    37 181.1   164   166 
#>  6.32 16.47 12.63 23.81  8.71 17.45 23.23 23.41 18.23 12.52 16.46 23.60 19.98 
#>    87    84    28   119   193   118    72   103   165   161    62    48   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144    33   198   104   160    12  72.1  28.1    95    22    75   141  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.1   122    94  75.1   148   137 104.1   182 119.1    65  65.1   138    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162 118.2    11  95.2  72.2     9 161.1  94.1  95.3   147   186    19    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1 193.1   191    46     7   135    80    64   121     3   146 104.2  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173   174    34    44   116  11.1   142 193.2    21 144.1  34.1 116.1  34.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   7.1  62.1 121.1 160.1 135.1     2 135.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[84]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.00556506                0.37430707                0.30977614 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.689976365             0.005626933             0.441464656 
#>   grade_iii, Cure model 
#>             1.386423336 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 63    22.77      1  31        1         0
#> 24    23.89      1  38        0         0
#> 88    18.37      1  47        0         0
#> 149    8.37      1  33        1         0
#> 187    9.92      1  39        1         0
#> 108   18.29      1  39        0         1
#> 170   19.54      1  43        0         1
#> 128   20.35      1  35        0         1
#> 77     7.27      1  67        0         1
#> 25     6.32      1  34        1         0
#> 92    22.92      1  47        0         1
#> 187.1  9.92      1  39        1         0
#> 26    15.77      1  49        0         1
#> 187.2  9.92      1  39        1         0
#> 129   23.41      1  53        1         0
#> 68    20.62      1  44        0         0
#> 197   21.60      1  69        1         0
#> 55    19.34      1  69        0         1
#> 61    10.12      1  36        0         1
#> 167   15.55      1  56        1         0
#> 177   12.53      1  75        0         0
#> 13    14.34      1  54        0         1
#> 110   17.56      1  65        0         1
#> 157.1 15.10      1  47        0         0
#> 124    9.73      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 24.1  23.89      1  38        0         0
#> 106   16.67      1  49        1         0
#> 18    15.21      1  49        1         0
#> 96    14.54      1  33        0         1
#> 63.1  22.77      1  31        1         0
#> 166   19.98      1  48        0         0
#> 139   21.49      1  63        1         0
#> 127    3.53      1  62        0         1
#> 180   14.82      1  37        0         0
#> 177.1 12.53      1  75        0         0
#> 110.1 17.56      1  65        0         1
#> 179   18.63      1  42        0         0
#> 60    13.15      1  38        1         0
#> 41    18.02      1  40        1         0
#> 96.1  14.54      1  33        0         1
#> 105   19.75      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 105.1 19.75      1  60        0         0
#> 42    12.43      1  49        0         1
#> 136   21.83      1  43        0         1
#> 89    11.44      1  NA        0         0
#> 26.1  15.77      1  49        0         1
#> 43    12.10      1  61        0         1
#> 184   17.77      1  38        0         0
#> 183    9.24      1  67        1         0
#> 125   15.65      1  67        1         0
#> 16     8.71      1  71        0         1
#> 136.1 21.83      1  43        0         1
#> 41.1  18.02      1  40        1         0
#> 85    16.44      1  36        0         0
#> 97    19.14      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 197.1 21.60      1  69        1         0
#> 93    10.33      1  52        0         1
#> 40    18.00      1  28        1         0
#> 159   10.55      1  50        0         1
#> 13.1  14.34      1  54        0         1
#> 192   16.44      1  31        1         0
#> 108.1 18.29      1  39        0         1
#> 30    17.43      1  78        0         0
#> 114   13.68      1  NA        0         0
#> 23    16.92      1  61        0         0
#> 16.1   8.71      1  71        0         1
#> 97.2  19.14      1  65        0         1
#> 188   16.16      1  46        0         1
#> 40.1  18.00      1  28        1         0
#> 24.2  23.89      1  38        0         0
#> 55.1  19.34      1  69        0         1
#> 130.1 16.47      1  53        0         1
#> 184.1 17.77      1  38        0         0
#> 128.1 20.35      1  35        0         1
#> 184.2 17.77      1  38        0         0
#> 6     15.64      1  39        0         0
#> 30.1  17.43      1  78        0         0
#> 32    20.90      1  37        1         0
#> 188.1 16.16      1  46        0         1
#> 111   17.45      1  47        0         1
#> 70     7.38      1  30        1         0
#> 4     17.64      1  NA        0         1
#> 16.2   8.71      1  71        0         1
#> 170.1 19.54      1  43        0         1
#> 13.2  14.34      1  54        0         1
#> 92.1  22.92      1  47        0         1
#> 76    19.22      1  54        0         1
#> 188.2 16.16      1  46        0         1
#> 158   20.14      1  74        1         0
#> 149.1  8.37      1  33        1         0
#> 110.2 17.56      1  65        0         1
#> 42.1  12.43      1  49        0         1
#> 60.1  13.15      1  38        1         0
#> 49    12.19      1  48        1         0
#> 97.3  19.14      1  65        0         1
#> 195.1 11.76      1  NA        1         0
#> 55.2  19.34      1  69        0         1
#> 128.2 20.35      1  35        0         1
#> 8     18.43      1  32        0         0
#> 128.3 20.35      1  35        0         1
#> 154   12.63      1  20        1         0
#> 93.1  10.33      1  52        0         1
#> 14    12.89      1  21        0         0
#> 127.1  3.53      1  62        0         1
#> 105.2 19.75      1  60        0         0
#> 36    21.19      1  48        0         1
#> 167.1 15.55      1  56        1         0
#> 84    24.00      0  39        0         1
#> 1     24.00      0  23        1         0
#> 62    24.00      0  71        0         0
#> 48    24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 121   24.00      0  57        1         0
#> 126   24.00      0  48        0         0
#> 102   24.00      0  49        0         0
#> 48.1  24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 142   24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 87    24.00      0  27        0         0
#> 115   24.00      0  NA        1         0
#> 33    24.00      0  53        0         0
#> 162   24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 7     24.00      0  37        1         0
#> 34    24.00      0  36        0         0
#> 28    24.00      0  67        1         0
#> 172   24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 9     24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 193.1 24.00      0  45        0         1
#> 20    24.00      0  46        1         0
#> 121.1 24.00      0  57        1         0
#> 191.1 24.00      0  60        0         1
#> 33.1  24.00      0  53        0         0
#> 119   24.00      0  17        0         0
#> 162.1 24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 98    24.00      0  34        1         0
#> 196   24.00      0  19        0         0
#> 142.1 24.00      0  53        0         0
#> 20.1  24.00      0  46        1         0
#> 172.1 24.00      0  41        0         0
#> 142.2 24.00      0  53        0         0
#> 142.3 24.00      0  53        0         0
#> 2     24.00      0   9        0         0
#> 165   24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 163   24.00      0  66        0         0
#> 20.2  24.00      0  46        1         0
#> 200   24.00      0  64        0         0
#> 165.1 24.00      0  47        0         0
#> 200.1 24.00      0  64        0         0
#> 74    24.00      0  43        0         1
#> 103   24.00      0  56        1         0
#> 102.1 24.00      0  49        0         0
#> 144   24.00      0  28        0         1
#> 17    24.00      0  38        0         1
#> 191.2 24.00      0  60        0         1
#> 156   24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 132   24.00      0  55        0         0
#> 38    24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 38.1  24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 161   24.00      0  45        0         0
#> 65.1  24.00      0  57        1         0
#> 95.1  24.00      0  68        0         1
#> 1.1   24.00      0  23        1         0
#> 27    24.00      0  63        1         0
#> 9.1   24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 137   24.00      0  45        1         0
#> 185   24.00      0  44        1         0
#> 102.2 24.00      0  49        0         0
#> 173   24.00      0  19        0         1
#> 87.1  24.00      0  27        0         0
#> 21    24.00      0  47        0         0
#> 174   24.00      0  49        1         0
#> 95.2  24.00      0  68        0         1
#> 12    24.00      0  63        0         0
#> 131.1 24.00      0  66        0         0
#> 94.1  24.00      0  51        0         1
#> 138.1 24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 198   24.00      0  66        0         1
#> 65.2  24.00      0  57        1         0
#> 80    24.00      0  41        0         0
#> 62.1  24.00      0  71        0         0
#> 1.2   24.00      0  23        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.690          NA        NA      NA
#> 2 age, Cure model          0.00563        NA        NA      NA
#> 3 grade_ii, Cure model     0.441          NA        NA      NA
#> 4 grade_iii, Cure model    1.39           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00557        NA        NA      NA
#> 2 grade_ii, Survival model   0.374          NA        NA      NA
#> 3 grade_iii, Survival model  0.310          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.689976          0.005627          0.441465          1.386423  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 249.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.689976365      0.005626933      0.441464656      1.386423336 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.00556506       0.37430707       0.30977614 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.78507957 0.21696385 0.05904846 0.55142214 0.96122385 0.92127584
#>   [7] 0.55979092 0.44591992 0.35343244 0.97799532 0.98355011 0.18114051
#>  [13] 0.92127584 0.73836994 0.92127584 0.15864619 0.34152545 0.27821591
#>  [19] 0.46532225 0.91538047 0.76536920 0.86109927 0.81741550 0.63066248
#>  [25] 0.78507957 0.13265478 0.05904846 0.68235871 0.77852450 0.80458031
#>  [31] 0.21696385 0.40574498 0.30435668 0.98908126 0.79807041 0.86109927
#>  [37] 0.63066248 0.53458284 0.83622151 0.57606843 0.80458031 0.41620014
#>  [43] 0.68961337 0.41620014 0.87337688 0.24896121 0.73836994 0.89157440
#>  [49] 0.60759600 0.93858283 0.75191372 0.94434804 0.24896121 0.57606843
#>  [55] 0.70379973 0.50150896 0.50150896 0.27821591 0.90357726 0.59197892
#>  [61] 0.89759189 0.81741550 0.70379973 0.55979092 0.66039782 0.67503320
#>  [67] 0.94434804 0.50150896 0.71785162 0.59197892 0.05904846 0.46532225
#>  [73] 0.68961337 0.60759600 0.35343244 0.60759600 0.75864869 0.66039782
#>  [79] 0.32950222 0.71785162 0.65294892 0.97240947 0.94434804 0.44591992
#>  [85] 0.81741550 0.18114051 0.49244085 0.71785162 0.39520668 0.96122385
#>  [91] 0.63066248 0.87337688 0.83622151 0.88551956 0.50150896 0.46532225
#>  [97] 0.35343244 0.54301521 0.35343244 0.85489242 0.90357726 0.84865728
#> [103] 0.98908126 0.41620014 0.31712387 0.76536920 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>   157    63    24    88   149   187   108   170   128    77    25    92 187.1 
#> 15.10 22.77 23.89 18.37  8.37  9.92 18.29 19.54 20.35  7.27  6.32 22.92  9.92 
#>    26 187.2   129    68   197    55    61   167   177    13   110 157.1    86 
#> 15.77  9.92 23.41 20.62 21.60 19.34 10.12 15.55 12.53 14.34 17.56 15.10 23.81 
#>  24.1   106    18    96  63.1   166   139   127   180 177.1 110.1   179    60 
#> 23.89 16.67 15.21 14.54 22.77 19.98 21.49  3.53 14.82 12.53 17.56 18.63 13.15 
#>    41  96.1   105   130 105.1    42   136  26.1    43   184   183   125    16 
#> 18.02 14.54 19.75 16.47 19.75 12.43 21.83 15.77 12.10 17.77  9.24 15.65  8.71 
#> 136.1  41.1    85    97  97.1 197.1    93    40   159  13.1   192 108.1    30 
#> 21.83 18.02 16.44 19.14 19.14 21.60 10.33 18.00 10.55 14.34 16.44 18.29 17.43 
#>    23  16.1  97.2   188  40.1  24.2  55.1 130.1 184.1 128.1 184.2     6  30.1 
#> 16.92  8.71 19.14 16.16 18.00 23.89 19.34 16.47 17.77 20.35 17.77 15.64 17.43 
#>    32 188.1   111    70  16.2 170.1  13.2  92.1    76 188.2   158 149.1 110.2 
#> 20.90 16.16 17.45  7.38  8.71 19.54 14.34 22.92 19.22 16.16 20.14  8.37 17.56 
#>  42.1  60.1    49  97.3  55.2 128.2     8 128.3   154  93.1    14 127.1 105.2 
#> 12.43 13.15 12.19 19.14 19.34 20.35 18.43 20.35 12.63 10.33 12.89  3.53 19.75 
#>    36 167.1    84     1    62    48   151   121   126   102  48.1    71   193 
#> 21.19 15.55 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142    95    87    33   162    67     7    34    28   172   191     9   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1    20 121.1 191.1  33.1   119 162.1   138   143   135    98   196 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1 172.1 142.2 142.3     2   165    94   163  20.2   200 165.1 200.1    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103 102.1   144    17 191.2   156    11   132    38    47  38.1    65   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1  95.1   1.1    27   9.1   178   137   185 102.2   173  87.1    21   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.2    12 131.1  94.1 138.1   120   198  65.2    80  62.1   1.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[85]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002593217               0.686083026               0.370523944 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.533903692             0.004925987             0.398263302 
#>   grade_iii, Cure model 
#>             1.148218935 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 39    15.59      1  37        0         1
#> 157   15.10      1  47        0         0
#> 39.1  15.59      1  37        0         1
#> 76    19.22      1  54        0         1
#> 52    10.42      1  52        0         1
#> 149    8.37      1  33        1         0
#> 197   21.60      1  69        1         0
#> 114   13.68      1  NA        0         0
#> 111   17.45      1  47        0         1
#> 77     7.27      1  67        0         1
#> 136   21.83      1  43        0         1
#> 171   16.57      1  41        0         1
#> 50    10.02      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 192   16.44      1  31        1         0
#> 24    23.89      1  38        0         0
#> 187    9.92      1  39        1         0
#> 159   10.55      1  50        0         1
#> 194   22.40      1  38        0         1
#> 63    22.77      1  31        1         0
#> 57    14.46      1  45        0         1
#> 113   22.86      1  34        0         0
#> 113.1 22.86      1  34        0         0
#> 63.1  22.77      1  31        1         0
#> 153   21.33      1  55        1         0
#> 128   20.35      1  35        0         1
#> 4     17.64      1  NA        0         1
#> 97    19.14      1  65        0         1
#> 42    12.43      1  49        0         1
#> 125   15.65      1  67        1         0
#> 159.1 10.55      1  50        0         1
#> 4.1   17.64      1  NA        0         1
#> 179   18.63      1  42        0         0
#> 140   12.68      1  59        1         0
#> 195   11.76      1  NA        1         0
#> 42.1  12.43      1  49        0         1
#> 166   19.98      1  48        0         0
#> 10    10.53      1  34        0         0
#> 180   14.82      1  37        0         0
#> 107   11.18      1  54        1         0
#> 140.1 12.68      1  59        1         0
#> 150   20.33      1  48        0         0
#> 134   17.81      1  47        1         0
#> 61    10.12      1  36        0         1
#> 192.1 16.44      1  31        1         0
#> 129   23.41      1  53        1         0
#> 136.1 21.83      1  43        0         1
#> 4.2   17.64      1  NA        0         1
#> 61.1  10.12      1  36        0         1
#> 192.2 16.44      1  31        1         0
#> 15    22.68      1  48        0         0
#> 76.1  19.22      1  54        0         1
#> 158   20.14      1  74        1         0
#> 23    16.92      1  61        0         0
#> 41    18.02      1  40        1         0
#> 90    20.94      1  50        0         1
#> 29    15.45      1  68        1         0
#> 105   19.75      1  60        0         0
#> 169   22.41      1  46        0         0
#> 8     18.43      1  32        0         0
#> 117   17.46      1  26        0         1
#> 39.2  15.59      1  37        0         1
#> 167   15.55      1  56        1         0
#> 93    10.33      1  52        0         1
#> 164   23.60      1  76        0         1
#> 4.3   17.64      1  NA        0         1
#> 41.1  18.02      1  40        1         0
#> 6     15.64      1  39        0         0
#> 183    9.24      1  67        1         0
#> 100   16.07      1  60        0         0
#> 125.1 15.65      1  67        1         0
#> 79    16.23      1  54        1         0
#> 177   12.53      1  75        0         0
#> 41.2  18.02      1  40        1         0
#> 133   14.65      1  57        0         0
#> 169.1 22.41      1  46        0         0
#> 108   18.29      1  39        0         1
#> 110   17.56      1  65        0         1
#> 43    12.10      1  61        0         1
#> 188   16.16      1  46        0         1
#> 168   23.72      1  70        0         0
#> 110.1 17.56      1  65        0         1
#> 194.1 22.40      1  38        0         1
#> 10.1  10.53      1  34        0         0
#> 8.1   18.43      1  32        0         0
#> 92    22.92      1  47        0         1
#> 70     7.38      1  30        1         0
#> 177.1 12.53      1  75        0         0
#> 192.3 16.44      1  31        1         0
#> 111.1 17.45      1  47        0         1
#> 194.2 22.40      1  38        0         1
#> 181   16.46      1  45        0         1
#> 106   16.67      1  49        1         0
#> 90.1  20.94      1  50        0         1
#> 154   12.63      1  20        1         0
#> 91     5.33      1  61        0         1
#> 36    21.19      1  48        0         1
#> 105.1 19.75      1  60        0         0
#> 50.1  10.02      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 96    14.54      1  33        0         1
#> 105.2 19.75      1  60        0         0
#> 76.2  19.22      1  54        0         1
#> 183.1  9.24      1  67        1         0
#> 169.2 22.41      1  46        0         0
#> 40    18.00      1  28        1         0
#> 92.1  22.92      1  47        0         1
#> 150.1 20.33      1  48        0         0
#> 79.1  16.23      1  54        1         0
#> 24.1  23.89      1  38        0         0
#> 86    23.81      1  58        0         1
#> 60    13.15      1  38        1         0
#> 104   24.00      0  50        1         0
#> 186   24.00      0  45        1         0
#> 178   24.00      0  52        1         0
#> 144   24.00      0  28        0         1
#> 1     24.00      0  23        1         0
#> 120   24.00      0  68        0         1
#> 27    24.00      0  63        1         0
#> 34    24.00      0  36        0         0
#> 126   24.00      0  48        0         0
#> 98    24.00      0  34        1         0
#> 112   24.00      0  61        0         0
#> 137   24.00      0  45        1         0
#> 137.1 24.00      0  45        1         0
#> 119   24.00      0  17        0         0
#> 141   24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 62    24.00      0  71        0         0
#> 198.1 24.00      0  66        0         1
#> 53    24.00      0  32        0         1
#> 44    24.00      0  56        0         0
#> 65    24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 119.1 24.00      0  17        0         0
#> 19    24.00      0  57        0         1
#> 156   24.00      0  50        1         0
#> 186.1 24.00      0  45        1         0
#> 122   24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 119.2 24.00      0  17        0         0
#> 196   24.00      0  19        0         0
#> 72    24.00      0  40        0         1
#> 151   24.00      0  42        0         0
#> 87    24.00      0  27        0         0
#> 2     24.00      0   9        0         0
#> 135   24.00      0  58        1         0
#> 122.1 24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 62.1  24.00      0  71        0         0
#> 163   24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 2.1   24.00      0   9        0         0
#> 103.1 24.00      0  56        1         0
#> 186.2 24.00      0  45        1         0
#> 119.3 24.00      0  17        0         0
#> 71    24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 31    24.00      0  36        0         1
#> 121   24.00      0  57        1         0
#> 80    24.00      0  41        0         0
#> 21    24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 62.2  24.00      0  71        0         0
#> 112.1 24.00      0  61        0         0
#> 186.3 24.00      0  45        1         0
#> 191   24.00      0  60        0         1
#> 46    24.00      0  71        0         0
#> 142   24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 173   24.00      0  19        0         1
#> 46.1  24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 193   24.00      0  45        0         1
#> 174   24.00      0  49        1         0
#> 64    24.00      0  43        0         0
#> 7     24.00      0  37        1         0
#> 75    24.00      0  21        1         0
#> 119.4 24.00      0  17        0         0
#> 198.2 24.00      0  66        0         1
#> 137.2 24.00      0  45        1         0
#> 176.1 24.00      0  43        0         1
#> 12    24.00      0  63        0         0
#> 109   24.00      0  48        0         0
#> 12.1  24.00      0  63        0         0
#> 152.1 24.00      0  36        0         1
#> 141.1 24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 141.2 24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 9     24.00      0  31        1         0
#> 126.1 24.00      0  48        0         0
#> 200.1 24.00      0  64        0         0
#> 121.1 24.00      0  57        1         0
#> 200.2 24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 75.1  24.00      0  21        1         0
#> 64.1  24.00      0  43        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.534          NA        NA      NA
#> 2 age, Cure model          0.00493        NA        NA      NA
#> 3 grade_ii, Cure model     0.398          NA        NA      NA
#> 4 grade_iii, Cure model    1.15           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00259        NA        NA      NA
#> 2 grade_ii, Survival model   0.686          NA        NA      NA
#> 3 grade_iii, Survival model  0.371          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.533904          0.004926          0.398263          1.148219  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 253.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.533903692      0.004925987      0.398263302      1.148218935 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002593217      0.686083026      0.370523944 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.77077294 0.81087585 0.77077294 0.50669440 0.93594186 0.97717917
#>   [7] 0.37535265 0.64590440 0.98864383 0.35221910 0.67744117 0.80430796
#>  [13] 0.69290271 0.03518217 0.95974360 0.91190120 0.31667517 0.23839127
#>  [19] 0.83705769 0.20785178 0.20785178 0.23839127 0.38661846 0.42852766
#>  [25] 0.53410749 0.88119965 0.75013154 0.91190120 0.54329191 0.84997082
#>  [31] 0.88119965 0.46848381 0.92392874 0.81743686 0.90581520 0.84997082
#>  [37] 0.43869864 0.61339112 0.94791794 0.69290271 0.15855416 0.35221910
#>  [43] 0.94791794 0.69290271 0.26501063 0.50669440 0.45868358 0.66169945
#>  [49] 0.57963860 0.40814701 0.79767206 0.47825696 0.27857991 0.55245850
#>  [55] 0.63783163 0.77077294 0.79095973 0.94194242 0.13702890 0.57963860
#>  [61] 0.76387610 0.96563119 0.74304985 0.75013154 0.72175290 0.86877952
#>  [67] 0.57963860 0.82399256 0.27857991 0.57058801 0.62167662 0.89967623
#>  [73] 0.73595678 0.11258617 0.62167662 0.31667517 0.92392874 0.55245850
#>  [79] 0.17690227 0.98293066 0.86877952 0.69290271 0.64590440 0.31667517
#>  [85] 0.68519932 0.66962836 0.40814701 0.86252785 0.99433321 0.39747607
#>  [91] 0.47825696 0.89350792 0.83053997 0.47825696 0.50669440 0.96563119
#>  [97] 0.27857991 0.60496410 0.17690227 0.43869864 0.72175290 0.03518217
#> [103] 0.08706864 0.84354370 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    39   157  39.1    76    52   149   197   111    77   136   171    18   192 
#> 15.59 15.10 15.59 19.22 10.42  8.37 21.60 17.45  7.27 21.83 16.57 15.21 16.44 
#>    24   187   159   194    63    57   113 113.1  63.1   153   128    97    42 
#> 23.89  9.92 10.55 22.40 22.77 14.46 22.86 22.86 22.77 21.33 20.35 19.14 12.43 
#>   125 159.1   179   140  42.1   166    10   180   107 140.1   150   134    61 
#> 15.65 10.55 18.63 12.68 12.43 19.98 10.53 14.82 11.18 12.68 20.33 17.81 10.12 
#> 192.1   129 136.1  61.1 192.2    15  76.1   158    23    41    90    29   105 
#> 16.44 23.41 21.83 10.12 16.44 22.68 19.22 20.14 16.92 18.02 20.94 15.45 19.75 
#>   169     8   117  39.2   167    93   164  41.1     6   183   100 125.1    79 
#> 22.41 18.43 17.46 15.59 15.55 10.33 23.60 18.02 15.64  9.24 16.07 15.65 16.23 
#>   177  41.2   133 169.1   108   110    43   188   168 110.1 194.1  10.1   8.1 
#> 12.53 18.02 14.65 22.41 18.29 17.56 12.10 16.16 23.72 17.56 22.40 10.53 18.43 
#>    92    70 177.1 192.3 111.1 194.2   181   106  90.1   154    91    36 105.1 
#> 22.92  7.38 12.53 16.44 17.45 22.40 16.46 16.67 20.94 12.63  5.33 21.19 19.75 
#>    56    96 105.2  76.2 183.1 169.2    40  92.1 150.1  79.1  24.1    86    60 
#> 12.21 14.54 19.75 19.22  9.24 22.41 18.00 22.92 20.33 16.23 23.89 23.81 13.15 
#>   104   186   178   144     1   120    27    34   126    98   112   137 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   141   198    62 198.1    53    44    65   118 119.1    19   156 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122    94 119.2   196    72   151    87     2   135 122.1   176  62.1   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   2.1 103.1 186.2 119.3    71   152    33    31   121    80    21   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.2 112.1 186.3   191    46   142    28   173  46.1   200   193   174    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7    75 119.4 198.2 137.2 176.1    12   109  12.1 152.1 141.1 141.2    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146     9 126.1 200.1 121.1 200.2   165  75.1  64.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[86]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01325527                0.45684204                0.56502194 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.769762652             0.009424454             0.507117288 
#>   grade_iii, Cure model 
#>             0.745543912 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 85    16.44      1  36        0         0
#> 181   16.46      1  45        0         1
#> 184   17.77      1  38        0         0
#> 127    3.53      1  62        0         1
#> 171   16.57      1  41        0         1
#> 25     6.32      1  34        1         0
#> 181.1 16.46      1  45        0         1
#> 187    9.92      1  39        1         0
#> 187.1  9.92      1  39        1         0
#> 88    18.37      1  47        0         0
#> 29    15.45      1  68        1         0
#> 129   23.41      1  53        1         0
#> 164   23.60      1  76        0         1
#> 45    17.42      1  54        0         1
#> 32    20.90      1  37        1         0
#> 81    14.06      1  34        0         0
#> 164.1 23.60      1  76        0         1
#> 113   22.86      1  34        0         0
#> 158   20.14      1  74        1         0
#> 29.1  15.45      1  68        1         0
#> 107   11.18      1  54        1         0
#> 177   12.53      1  75        0         0
#> 187.2  9.92      1  39        1         0
#> 114   13.68      1  NA        0         0
#> 110   17.56      1  65        0         1
#> 26    15.77      1  49        0         1
#> 199   19.81      1  NA        0         1
#> 125   15.65      1  67        1         0
#> 85.1  16.44      1  36        0         0
#> 5     16.43      1  51        0         1
#> 113.1 22.86      1  34        0         0
#> 181.2 16.46      1  45        0         1
#> 25.1   6.32      1  34        1         0
#> 4     17.64      1  NA        0         1
#> 90    20.94      1  50        0         1
#> 61    10.12      1  36        0         1
#> 59    10.16      1  NA        1         0
#> 85.2  16.44      1  36        0         0
#> 88.1  18.37      1  47        0         0
#> 26.1  15.77      1  49        0         1
#> 45.1  17.42      1  54        0         1
#> 140   12.68      1  59        1         0
#> 169   22.41      1  46        0         0
#> 133   14.65      1  57        0         0
#> 108   18.29      1  39        0         1
#> 97    19.14      1  65        0         1
#> 36    21.19      1  48        0         1
#> 129.1 23.41      1  53        1         0
#> 97.1  19.14      1  65        0         1
#> 155   13.08      1  26        0         0
#> 37    12.52      1  57        1         0
#> 93    10.33      1  52        0         1
#> 50    10.02      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 57    14.46      1  45        0         1
#> 179   18.63      1  42        0         0
#> 101    9.97      1  10        0         1
#> 184.1 17.77      1  38        0         0
#> 15    22.68      1  48        0         0
#> 179.1 18.63      1  42        0         0
#> 123   13.00      1  44        1         0
#> 175   21.91      1  43        0         0
#> 57.1  14.46      1  45        0         1
#> 189   10.51      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 40    18.00      1  28        1         0
#> 4.1   17.64      1  NA        0         1
#> 195   11.76      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 183    9.24      1  67        1         0
#> 89    11.44      1  NA        0         0
#> 89.1  11.44      1  NA        0         0
#> 145   10.07      1  65        1         0
#> 91     5.33      1  61        0         1
#> 63    22.77      1  31        1         0
#> 170   19.54      1  43        0         1
#> 32.1  20.90      1  37        1         0
#> 199.1 19.81      1  NA        0         1
#> 189.1 10.51      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 175.1 21.91      1  43        0         0
#> 30    17.43      1  78        0         0
#> 41    18.02      1  40        1         0
#> 43    12.10      1  61        0         1
#> 127.1  3.53      1  62        0         1
#> 39    15.59      1  37        0         1
#> 190   20.81      1  42        1         0
#> 139   21.49      1  63        1         0
#> 43.1  12.10      1  61        0         1
#> 4.2   17.64      1  NA        0         1
#> 136   21.83      1  43        0         1
#> 149    8.37      1  33        1         0
#> 43.2  12.10      1  61        0         1
#> 190.1 20.81      1  42        1         0
#> 81.1  14.06      1  34        0         0
#> 70     7.38      1  30        1         0
#> 85.3  16.44      1  36        0         0
#> 129.2 23.41      1  53        1         0
#> 111   17.45      1  47        0         1
#> 101.1  9.97      1  10        0         1
#> 51    18.23      1  83        0         1
#> 96    14.54      1  33        0         1
#> 93.1  10.33      1  52        0         1
#> 125.1 15.65      1  67        1         0
#> 154   12.63      1  20        1         0
#> 114.1 13.68      1  NA        0         0
#> 45.2  17.42      1  54        0         1
#> 68    20.62      1  44        0         0
#> 145.1 10.07      1  65        1         0
#> 5.1   16.43      1  51        0         1
#> 189.2 10.51      1  NA        1         0
#> 46    24.00      0  71        0         0
#> 185   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 126   24.00      0  48        0         0
#> 74    24.00      0  43        0         1
#> 152   24.00      0  36        0         1
#> 137   24.00      0  45        1         0
#> 143   24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 160   24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 152.1 24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 34    24.00      0  36        0         0
#> 64    24.00      0  43        0         0
#> 112   24.00      0  61        0         0
#> 103   24.00      0  56        1         0
#> 161   24.00      0  45        0         0
#> 83    24.00      0   6        0         0
#> 120   24.00      0  68        0         1
#> 151   24.00      0  42        0         0
#> 120.1 24.00      0  68        0         1
#> 95    24.00      0  68        0         1
#> 143.1 24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 11    24.00      0  42        0         1
#> 193   24.00      0  45        0         1
#> 28    24.00      0  67        1         0
#> 31    24.00      0  36        0         1
#> 12.1  24.00      0  63        0         0
#> 152.2 24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 112.1 24.00      0  61        0         0
#> 109   24.00      0  48        0         0
#> 137.1 24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 152.3 24.00      0  36        0         1
#> 116   24.00      0  58        0         1
#> 102.1 24.00      0  49        0         0
#> 11.1  24.00      0  42        0         1
#> 27    24.00      0  63        1         0
#> 135   24.00      0  58        1         0
#> 141   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 7     24.00      0  37        1         0
#> 138   24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 94    24.00      0  51        0         1
#> 31.1  24.00      0  36        0         1
#> 178   24.00      0  52        1         0
#> 191   24.00      0  60        0         1
#> 196.1 24.00      0  19        0         0
#> 75.1  24.00      0  21        1         0
#> 165   24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 72    24.00      0  40        0         1
#> 47    24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 174   24.00      0  49        1         0
#> 115   24.00      0  NA        1         0
#> 148   24.00      0  61        1         0
#> 33.1  24.00      0  53        0         0
#> 160.1 24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 84    24.00      0  39        0         1
#> 122.1 24.00      0  66        0         0
#> 65    24.00      0  57        1         0
#> 104   24.00      0  50        1         0
#> 34.1  24.00      0  36        0         0
#> 200   24.00      0  64        0         0
#> 138.1 24.00      0  44        1         0
#> 160.2 24.00      0  31        1         0
#> 116.1 24.00      0  58        0         1
#> 46.1  24.00      0  71        0         0
#> 196.2 24.00      0  19        0         0
#> 98    24.00      0  34        1         0
#> 173   24.00      0  19        0         1
#> 21    24.00      0  47        0         0
#> 87    24.00      0  27        0         0
#> 186   24.00      0  45        1         0
#> 48.1  24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 200.1 24.00      0  64        0         0
#> 173.1 24.00      0  19        0         1
#> 112.2 24.00      0  61        0         0
#> 126.1 24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.770          NA        NA      NA
#> 2 age, Cure model          0.00942        NA        NA      NA
#> 3 grade_ii, Cure model     0.507          NA        NA      NA
#> 4 grade_iii, Cure model    0.746          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0133        NA        NA      NA
#> 2 grade_ii, Survival model    0.457         NA        NA      NA
#> 3 grade_iii, Survival model   0.565         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.769763          0.009424          0.507117          0.745544  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    253.2 
#> Residual Deviance: 247.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.769762652      0.009424454      0.507117288      0.745543912 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01325527       0.45684204       0.56502194 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.4030243790 0.3709977200 0.2753880644 0.9743960738 0.3600301567
#>   [6] 0.9362080648 0.3709977200 0.8602008608 0.8602008608 0.2149830437
#>  [11] 0.5269602126 0.0139737413 0.0048481075 0.3280991319 0.1175751607
#>  [16] 0.5979431310 0.0048481075 0.0344151864 0.1598075873 0.5269602126
#>  [21] 0.7456501647 0.6708615322 0.8602008608 0.2960227517 0.4695143357
#>  [26] 0.4922240488 0.4030243790 0.4468934605 0.0344151864 0.3709977200
#>  [31] 0.9362080648 0.1090113227 0.7965547195 0.4030243790 0.2149830437
#>  [36] 0.4695143357 0.3280991319 0.6463488483 0.0607178986 0.5503766817
#>  [41] 0.2346771683 0.1779478335 0.1005099834 0.0139737413 0.1779478335
#>  [46] 0.6219447379 0.6832359163 0.7711492780 0.6956684498 0.5742861233
#>  [51] 0.1960919493 0.8349806405 0.2753880644 0.0536085010 0.1960919493
#>  [56] 0.6341328516 0.0682293797 0.5742861233 0.7583897398 0.2651787835
#>  [61] 0.0009265892 0.8978486665 0.8093415071 0.9615856518 0.0469174516
#>  [66] 0.1688764482 0.1175751607 0.0283727221 0.0682293797 0.3172439700
#>  [71] 0.2549342667 0.7082240754 0.9743960738 0.5153069589 0.1341597383
#>  [76] 0.0920581892 0.7082240754 0.0838442452 0.9106410746 0.7082240754
#>  [81] 0.1341597383 0.5979431310 0.9234299631 0.4030243790 0.0139737413
#>  [86] 0.3066230025 0.8349806405 0.2447188411 0.5623486908 0.7711492780
#>  [91] 0.4922240488 0.6586292883 0.3280991319 0.1509439681 0.8093415071
#>  [96] 0.4468934605 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    85   181   184   127   171    25 181.1   187 187.1    88    29   129   164 
#> 16.44 16.46 17.77  3.53 16.57  6.32 16.46  9.92  9.92 18.37 15.45 23.41 23.60 
#>    45    32    81 164.1   113   158  29.1   107   177 187.2   110    26   125 
#> 17.42 20.90 14.06 23.60 22.86 20.14 15.45 11.18 12.53  9.92 17.56 15.77 15.65 
#>  85.1     5 113.1 181.2  25.1    90    61  85.2  88.1  26.1  45.1   140   169 
#> 16.44 16.43 22.86 16.46  6.32 20.94 10.12 16.44 18.37 15.77 17.42 12.68 22.41 
#>   133   108    97    36 129.1  97.1   155    37    93    56    57   179   101 
#> 14.65 18.29 19.14 21.19 23.41 19.14 13.08 12.52 10.33 12.21 14.46 18.63  9.97 
#> 184.1    15 179.1   123   175  57.1   159    40    24   183   145    91    63 
#> 17.77 22.68 18.63 13.00 21.91 14.46 10.55 18.00 23.89  9.24 10.07  5.33 22.77 
#>   170  32.1    92 175.1    30    41    43 127.1    39   190   139  43.1   136 
#> 19.54 20.90 22.92 21.91 17.43 18.02 12.10  3.53 15.59 20.81 21.49 12.10 21.83 
#>   149  43.2 190.1  81.1    70  85.3 129.2   111 101.1    51    96  93.1 125.1 
#>  8.37 12.10 20.81 14.06  7.38 16.44 23.41 17.45  9.97 18.23 14.54 10.33 15.65 
#>   154  45.2    68 145.1   5.1    46   185   146   126    74   152   137   143 
#> 12.63 17.42 20.62 10.07 16.43 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102   160   172 152.1    71    12    34    64   112   103   161    83   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151 120.1    95 143.1    75    11   193    28    31  12.1 152.2   198 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109 137.1    48 152.3   116 102.1  11.1    27   135   141   119     7   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   196    94  31.1   178   191 196.1  75.1   165   122    72    47    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   148  33.1 160.1   144    84 122.1    65   104  34.1   200 138.1 160.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1  46.1 196.2    98   173    21    87   186  48.1 198.1 200.1 173.1 112.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 126.1 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[87]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.02088868                0.49917929                0.14192446 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.233576588             0.007544065             0.039568292 
#>   grade_iii, Cure model 
#>             0.309030949 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 86    23.81      1  58        0         1
#> 69    23.23      1  25        0         1
#> 140   12.68      1  59        1         0
#> 37    12.52      1  57        1         0
#> 63    22.77      1  31        1         0
#> 68    20.62      1  44        0         0
#> 8     18.43      1  32        0         0
#> 29    15.45      1  68        1         0
#> 96    14.54      1  33        0         1
#> 56    12.21      1  60        0         0
#> 49    12.19      1  48        1         0
#> 52    10.42      1  52        0         1
#> 190   20.81      1  42        1         0
#> 81    14.06      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 69.1  23.23      1  25        0         1
#> 92    22.92      1  47        0         1
#> 187    9.92      1  39        1         0
#> 110   17.56      1  65        0         1
#> 136   21.83      1  43        0         1
#> 188   16.16      1  46        0         1
#> 58    19.34      1  39        0         0
#> 167   15.55      1  56        1         0
#> 107   11.18      1  54        1         0
#> 97    19.14      1  65        0         1
#> 78    23.88      1  43        0         0
#> 155   13.08      1  26        0         0
#> 8.1   18.43      1  32        0         0
#> 107.1 11.18      1  54        1         0
#> 91     5.33      1  61        0         1
#> 129   23.41      1  53        1         0
#> 166   19.98      1  48        0         0
#> 181   16.46      1  45        0         1
#> 14    12.89      1  21        0         0
#> 81.1  14.06      1  34        0         0
#> 6     15.64      1  39        0         0
#> 24    23.89      1  38        0         0
#> 134   17.81      1  47        1         0
#> 30    17.43      1  78        0         0
#> 93    10.33      1  52        0         1
#> 92.1  22.92      1  47        0         1
#> 81.2  14.06      1  34        0         0
#> 111   17.45      1  47        0         1
#> 136.1 21.83      1  43        0         1
#> 70     7.38      1  30        1         0
#> 190.1 20.81      1  42        1         0
#> 100   16.07      1  60        0         0
#> 79    16.23      1  54        1         0
#> 5     16.43      1  51        0         1
#> 170   19.54      1  43        0         1
#> 58.1  19.34      1  39        0         0
#> 40    18.00      1  28        1         0
#> 130   16.47      1  53        0         1
#> 24.1  23.89      1  38        0         0
#> 167.1 15.55      1  56        1         0
#> 79.1  16.23      1  54        1         0
#> 92.2  22.92      1  47        0         1
#> 128   20.35      1  35        0         1
#> 106   16.67      1  49        1         0
#> 99    21.19      1  38        0         1
#> 140.1 12.68      1  59        1         0
#> 86.1  23.81      1  58        0         1
#> 66    22.13      1  53        0         0
#> 181.1 16.46      1  45        0         1
#> 134.1 17.81      1  47        1         0
#> 42    12.43      1  49        0         1
#> 55    19.34      1  69        0         1
#> 145   10.07      1  65        1         0
#> 106.1 16.67      1  49        1         0
#> 171   16.57      1  41        0         1
#> 139   21.49      1  63        1         0
#> 58.2  19.34      1  39        0         0
#> 179   18.63      1  42        0         0
#> 93.1  10.33      1  52        0         1
#> 91.1   5.33      1  61        0         1
#> 58.3  19.34      1  39        0         0
#> 49.1  12.19      1  48        1         0
#> 111.1 17.45      1  47        0         1
#> 42.1  12.43      1  49        0         1
#> 153   21.33      1  55        1         0
#> 5.1   16.43      1  51        0         1
#> 78.1  23.88      1  43        0         0
#> 158   20.14      1  74        1         0
#> 66.1  22.13      1  53        0         0
#> 187.1  9.92      1  39        1         0
#> 190.2 20.81      1  42        1         0
#> 140.2 12.68      1  59        1         0
#> 177   12.53      1  75        0         0
#> 190.3 20.81      1  42        1         0
#> 69.2  23.23      1  25        0         1
#> 36    21.19      1  48        0         1
#> 108   18.29      1  39        0         1
#> 171.1 16.57      1  41        0         1
#> 128.1 20.35      1  35        0         1
#> 37.1  12.52      1  57        1         0
#> 30.1  17.43      1  78        0         0
#> 13    14.34      1  54        0         1
#> 127    3.53      1  62        0         1
#> 30.2  17.43      1  78        0         0
#> 69.3  23.23      1  25        0         1
#> 100.1 16.07      1  60        0         0
#> 133   14.65      1  57        0         0
#> 187.2  9.92      1  39        1         0
#> 63.1  22.77      1  31        1         0
#> 177.1 12.53      1  75        0         0
#> 29.1  15.45      1  68        1         0
#> 108.1 18.29      1  39        0         1
#> 149    8.37      1  33        1         0
#> 41    18.02      1  40        1         0
#> 32    20.90      1  37        1         0
#> 105   19.75      1  60        0         0
#> 30.3  17.43      1  78        0         0
#> 7     24.00      0  37        1         0
#> 146   24.00      0  63        1         0
#> 54    24.00      0  53        1         0
#> 9     24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 198   24.00      0  66        0         1
#> 64    24.00      0  43        0         0
#> 21    24.00      0  47        0         0
#> 146.1 24.00      0  63        1         0
#> 198.1 24.00      0  66        0         1
#> 31    24.00      0  36        0         1
#> 141   24.00      0  44        1         0
#> 31.1  24.00      0  36        0         1
#> 162   24.00      0  51        0         0
#> 46    24.00      0  71        0         0
#> 71    24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 178   24.00      0  52        1         0
#> 185   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 115   24.00      0  NA        1         0
#> 17    24.00      0  38        0         1
#> 104   24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 47    24.00      0  38        0         1
#> 126   24.00      0  48        0         0
#> 198.2 24.00      0  66        0         1
#> 19    24.00      0  57        0         1
#> 3     24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 198.3 24.00      0  66        0         1
#> 3.1   24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 31.2  24.00      0  36        0         1
#> 95    24.00      0  68        0         1
#> 147   24.00      0  76        1         0
#> 178.1 24.00      0  52        1         0
#> 122.1 24.00      0  66        0         0
#> 95.1  24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 38    24.00      0  31        1         0
#> 46.1  24.00      0  71        0         0
#> 142   24.00      0  53        0         0
#> 33    24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 186   24.00      0  45        1         0
#> 2     24.00      0   9        0         0
#> 120   24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 53    24.00      0  32        0         1
#> 119.1 24.00      0  17        0         0
#> 62    24.00      0  71        0         0
#> 121.1 24.00      0  57        1         0
#> 116   24.00      0  58        0         1
#> 173.1 24.00      0  19        0         1
#> 200   24.00      0  64        0         0
#> 102   24.00      0  49        0         0
#> 71.1  24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 82    24.00      0  34        0         0
#> 138   24.00      0  44        1         0
#> 62.1  24.00      0  71        0         0
#> 121.2 24.00      0  57        1         0
#> 173.2 24.00      0  19        0         1
#> 173.3 24.00      0  19        0         1
#> 38.1  24.00      0  31        1         0
#> 173.4 24.00      0  19        0         1
#> 35    24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 48.1  24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 34    24.00      0  36        0         0
#> 82.1  24.00      0  34        0         0
#> 75    24.00      0  21        1         0
#> 152   24.00      0  36        0         1
#> 103   24.00      0  56        1         0
#> 103.1 24.00      0  56        1         0
#> 178.2 24.00      0  52        1         0
#> 82.2  24.00      0  34        0         0
#> 94    24.00      0  51        0         1
#> 31.3  24.00      0  36        0         1
#> 135   24.00      0  58        1         0
#> 65    24.00      0  57        1         0
#> 173.5 24.00      0  19        0         1
#> 152.1 24.00      0  36        0         1
#> 163   24.00      0  66        0         0
#> 120.1 24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.234          NA        NA      NA
#> 2 age, Cure model          0.00754        NA        NA      NA
#> 3 grade_ii, Cure model     0.0396         NA        NA      NA
#> 4 grade_iii, Cure model    0.309          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0209        NA        NA      NA
#> 2 grade_ii, Survival model    0.499         NA        NA      NA
#> 3 grade_iii, Survival model   0.142         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.233577          0.007544          0.039568          0.309031  
#> 
#> Degrees of Freedom: 197 Total (i.e. Null);  194 Residual
#> Null Deviance:	    271.6 
#> Residual Deviance: 270.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.233576588      0.007544065      0.039568292      0.309030949 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.02088868       0.49917929       0.14192446 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3685388 0.4335487 0.9287566 0.9438248 0.5353380 0.6745415 0.7592381
#>   [8] 0.8963091 0.9062300 0.9553168 0.9581536 0.9691274 0.6462948 0.9127543
#>  [15] 0.4335487 0.4957603 0.9797628 0.8005457 0.5816681 0.8749040 0.7203300
#>  [22] 0.8893828 0.9637044 0.7482480 0.2974578 0.9223556 0.7592381 0.9637044
#>  [29] 0.9925322 0.4143341 0.7016979 0.8519515 0.9255592 0.9127543 0.8857922
#>  [36] 0.1892626 0.7907852 0.8146670 0.9718245 0.4957603 0.9127543 0.8053390
#>  [43] 0.5816681 0.9899943 0.6462948 0.8785888 0.8674871 0.8598016 0.7142301
#>  [50] 0.7203300 0.7856748 0.8479452 0.1892626 0.8893828 0.8674871 0.4957603
#>  [57] 0.6816036 0.8316325 0.6210348 0.9287566 0.3685388 0.5594726 0.8519515
#>  [64] 0.7907852 0.9496091 0.7203300 0.9771400 0.8316325 0.8398567 0.6024155
#>  [71] 0.7203300 0.7537712 0.9718245 0.9925322 0.7203300 0.9581536 0.8053390
#>  [78] 0.9496091 0.6120220 0.8598016 0.2974578 0.6952622 0.5594726 0.9797628
#>  [85] 0.6462948 0.9287566 0.9378794 0.6462948 0.4335487 0.6210348 0.7699859
#>  [92] 0.8398567 0.6816036 0.9438248 0.8146670 0.9095072 0.9975219 0.8146670
#>  [99] 0.4335487 0.8785888 0.9029375 0.9797628 0.5353380 0.9378794 0.8963091
#> [106] 0.7699859 0.9874428 0.7804986 0.6380263 0.7080334 0.8146670 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [197] 0.0000000 0.0000000
#> 
#> $Time
#>    86    69   140    37    63    68     8    29    96    56    49    52   190 
#> 23.81 23.23 12.68 12.52 22.77 20.62 18.43 15.45 14.54 12.21 12.19 10.42 20.81 
#>    81  69.1    92   187   110   136   188    58   167   107    97    78   155 
#> 14.06 23.23 22.92  9.92 17.56 21.83 16.16 19.34 15.55 11.18 19.14 23.88 13.08 
#>   8.1 107.1    91   129   166   181    14  81.1     6    24   134    30    93 
#> 18.43 11.18  5.33 23.41 19.98 16.46 12.89 14.06 15.64 23.89 17.81 17.43 10.33 
#>  92.1  81.2   111 136.1    70 190.1   100    79     5   170  58.1    40   130 
#> 22.92 14.06 17.45 21.83  7.38 20.81 16.07 16.23 16.43 19.54 19.34 18.00 16.47 
#>  24.1 167.1  79.1  92.2   128   106    99 140.1  86.1    66 181.1 134.1    42 
#> 23.89 15.55 16.23 22.92 20.35 16.67 21.19 12.68 23.81 22.13 16.46 17.81 12.43 
#>    55   145 106.1   171   139  58.2   179  93.1  91.1  58.3  49.1 111.1  42.1 
#> 19.34 10.07 16.67 16.57 21.49 19.34 18.63 10.33  5.33 19.34 12.19 17.45 12.43 
#>   153   5.1  78.1   158  66.1 187.1 190.2 140.2   177 190.3  69.2    36   108 
#> 21.33 16.43 23.88 20.14 22.13  9.92 20.81 12.68 12.53 20.81 23.23 21.19 18.29 
#> 171.1 128.1  37.1  30.1    13   127  30.2  69.3 100.1   133 187.2  63.1 177.1 
#> 16.57 20.35 12.52 17.43 14.34  3.53 17.43 23.23 16.07 14.65  9.92 22.77 12.53 
#>  29.1 108.1   149    41    32   105  30.3     7   146    54     9   148   198 
#> 15.45 18.29  8.37 18.02 20.90 19.75 17.43 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64    21 146.1 198.1    31   141  31.1   162    46    71   137   178   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20    17   104   121    47   126 198.2    19     3   143 198.3   3.1   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173  31.2    95   147 178.1 122.1  95.1   119    38  46.1   142    33    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186     2   120   112    53 119.1    62 121.1   116 173.1   200   102  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193    82   138  62.1 121.2 173.2 173.3  38.1 173.4    35    48  48.1   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34  82.1    75   152   103 103.1 178.2  82.2    94  31.3   135    65 173.5 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1   163 120.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[88]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004405359               0.860671835               0.044867785 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.51577922              0.00854293              0.29971567 
#>   grade_iii, Cure model 
#>              0.63044505 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 69    23.23      1  25        0         1
#> 26    15.77      1  49        0         1
#> 114   13.68      1  NA        0         0
#> 181   16.46      1  45        0         1
#> 128   20.35      1  35        0         1
#> 85    16.44      1  36        0         0
#> 69.1  23.23      1  25        0         1
#> 8     18.43      1  32        0         0
#> 139   21.49      1  63        1         0
#> 14    12.89      1  21        0         0
#> 99    21.19      1  38        0         1
#> 140   12.68      1  59        1         0
#> 183    9.24      1  67        1         0
#> 192   16.44      1  31        1         0
#> 8.1   18.43      1  32        0         0
#> 194   22.40      1  38        0         1
#> 4     17.64      1  NA        0         1
#> 8.2   18.43      1  32        0         0
#> 164   23.60      1  76        0         1
#> 155   13.08      1  26        0         0
#> 25     6.32      1  34        1         0
#> 153   21.33      1  55        1         0
#> 199   19.81      1  NA        0         1
#> 179   18.63      1  42        0         0
#> 6     15.64      1  39        0         0
#> 79    16.23      1  54        1         0
#> 190   20.81      1  42        1         0
#> 145   10.07      1  65        1         0
#> 36    21.19      1  48        0         1
#> 10    10.53      1  34        0         0
#> 25.1   6.32      1  34        1         0
#> 105   19.75      1  60        0         0
#> 89    11.44      1  NA        0         0
#> 25.2   6.32      1  34        1         0
#> 188   16.16      1  46        0         1
#> 180   14.82      1  37        0         0
#> 100   16.07      1  60        0         0
#> 15    22.68      1  48        0         0
#> 123   13.00      1  44        1         0
#> 180.1 14.82      1  37        0         0
#> 91     5.33      1  61        0         1
#> 127    3.53      1  62        0         1
#> 90    20.94      1  50        0         1
#> 130   16.47      1  53        0         1
#> 60    13.15      1  38        1         0
#> 113   22.86      1  34        0         0
#> 90.1  20.94      1  50        0         1
#> 90.2  20.94      1  50        0         1
#> 164.1 23.60      1  76        0         1
#> 42    12.43      1  49        0         1
#> 159   10.55      1  50        0         1
#> 180.2 14.82      1  37        0         0
#> 100.1 16.07      1  60        0         0
#> 188.1 16.16      1  46        0         1
#> 197   21.60      1  69        1         0
#> 175   21.91      1  43        0         0
#> 32    20.90      1  37        1         0
#> 139.1 21.49      1  63        1         0
#> 136   21.83      1  43        0         1
#> 194.1 22.40      1  38        0         1
#> 183.1  9.24      1  67        1         0
#> 150   20.33      1  48        0         0
#> 113.1 22.86      1  34        0         0
#> 6.1   15.64      1  39        0         0
#> 168   23.72      1  70        0         0
#> 167   15.55      1  56        1         0
#> 190.1 20.81      1  42        1         0
#> 110   17.56      1  65        0         1
#> 171   16.57      1  41        0         1
#> 171.1 16.57      1  41        0         1
#> 106   16.67      1  49        1         0
#> 61    10.12      1  36        0         1
#> 154   12.63      1  20        1         0
#> 117   17.46      1  26        0         1
#> 55    19.34      1  69        0         1
#> 45    17.42      1  54        0         1
#> 100.2 16.07      1  60        0         0
#> 170   19.54      1  43        0         1
#> 110.1 17.56      1  65        0         1
#> 157   15.10      1  47        0         0
#> 111   17.45      1  47        0         1
#> 133   14.65      1  57        0         0
#> 190.2 20.81      1  42        1         0
#> 124    9.73      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 29    15.45      1  68        1         0
#> 184   17.77      1  38        0         0
#> 136.1 21.83      1  43        0         1
#> 183.2  9.24      1  67        1         0
#> 18    15.21      1  49        1         0
#> 30    17.43      1  78        0         0
#> 188.2 16.16      1  46        0         1
#> 30.1  17.43      1  78        0         0
#> 140.1 12.68      1  59        1         0
#> 187    9.92      1  39        1         0
#> 45.1  17.42      1  54        0         1
#> 114.1 13.68      1  NA        0         0
#> 18.1  15.21      1  49        1         0
#> 140.2 12.68      1  59        1         0
#> 88    18.37      1  47        0         0
#> 61.1  10.12      1  36        0         1
#> 90.3  20.94      1  50        0         1
#> 140.3 12.68      1  59        1         0
#> 159.1 10.55      1  50        0         1
#> 133.1 14.65      1  57        0         0
#> 78    23.88      1  43        0         0
#> 169   22.41      1  46        0         0
#> 145.1 10.07      1  65        1         0
#> 37    12.52      1  57        1         0
#> 15.1  22.68      1  48        0         0
#> 194.2 22.40      1  38        0         1
#> 13    14.34      1  54        0         1
#> 141   24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 173   24.00      0  19        0         1
#> 163   24.00      0  66        0         0
#> 131   24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 64    24.00      0  43        0         0
#> 74.1  24.00      0  43        0         1
#> 151   24.00      0  42        0         0
#> 182   24.00      0  35        0         0
#> 48    24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 132   24.00      0  55        0         0
#> 185   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 35    24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 27    24.00      0  63        1         0
#> 135.1 24.00      0  58        1         0
#> 53    24.00      0  32        0         1
#> 87    24.00      0  27        0         0
#> 174   24.00      0  49        1         0
#> 9     24.00      0  31        1         0
#> 87.1  24.00      0  27        0         0
#> 20    24.00      0  46        1         0
#> 148   24.00      0  61        1         0
#> 147   24.00      0  76        1         0
#> 35.1  24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 112.2 24.00      0  61        0         0
#> 163.1 24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 126   24.00      0  48        0         0
#> 102   24.00      0  49        0         0
#> 198   24.00      0  66        0         1
#> 72    24.00      0  40        0         1
#> 84.1  24.00      0  39        0         1
#> 191   24.00      0  60        0         1
#> 46    24.00      0  71        0         0
#> 178   24.00      0  52        1         0
#> 53.1  24.00      0  32        0         1
#> 182.1 24.00      0  35        0         0
#> 33.1  24.00      0  53        0         0
#> 1     24.00      0  23        1         0
#> 119   24.00      0  17        0         0
#> 74.2  24.00      0  43        0         1
#> 198.1 24.00      0  66        0         1
#> 135.2 24.00      0  58        1         0
#> 152   24.00      0  36        0         1
#> 35.2  24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 35.3  24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 142   24.00      0  53        0         0
#> 35.4  24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 193   24.00      0  45        0         1
#> 94    24.00      0  51        0         1
#> 135.3 24.00      0  58        1         0
#> 53.2  24.00      0  32        0         1
#> 38    24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 33.2  24.00      0  53        0         0
#> 126.1 24.00      0  48        0         0
#> 131.1 24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 1.1   24.00      0  23        1         0
#> 144   24.00      0  28        0         1
#> 7.1   24.00      0  37        1         0
#> 44    24.00      0  56        0         0
#> 83    24.00      0   6        0         0
#> 118   24.00      0  44        1         0
#> 144.1 24.00      0  28        0         1
#> 82    24.00      0  34        0         0
#> 137.1 24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 120.1 24.00      0  68        0         1
#> 7.2   24.00      0  37        1         0
#> 71    24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 141.1 24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 196   24.00      0  19        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.516          NA        NA      NA
#> 2 age, Cure model          0.00854        NA        NA      NA
#> 3 grade_ii, Cure model     0.300          NA        NA      NA
#> 4 grade_iii, Cure model    0.630          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00441        NA        NA      NA
#> 2 grade_ii, Survival model   0.861          NA        NA      NA
#> 3 grade_iii, Survival model  0.0449         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.515779          0.008543          0.299716          0.630445  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 263.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.51577922       0.00854293       0.29971567       0.63044505 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004405359      0.860671835      0.044867785 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.038845352 0.630057798 0.535407717 0.317880638 0.545152125 0.038845352
#>   [7] 0.373294299 0.191441560 0.788569525 0.222073856 0.797736512 0.935379170
#>  [13] 0.545152125 0.373294299 0.111878388 0.373294299 0.020200619 0.770151213
#>  [19] 0.959944296 0.211974877 0.363943816 0.639686800 0.564158375 0.291390802
#>  [25] 0.910010950 0.222073856 0.884208967 0.959944296 0.336157817 0.959944296
#>  [31] 0.573604255 0.705450849 0.601677148 0.078699967 0.779411946 0.705450849
#>  [37] 0.983875168 0.991930897 0.242052223 0.525688465 0.760902516 0.058269385
#>  [43] 0.242052223 0.242052223 0.020200619 0.849847234 0.867082941 0.705450849
#>  [49] 0.601677148 0.573604255 0.179875383 0.144441224 0.281372398 0.191441560
#>  [55] 0.156400684 0.111878388 0.935379170 0.326994882 0.058269385 0.639686800
#>  [61] 0.010649756 0.658890475 0.291390802 0.419887268 0.506490111 0.506490111
#>  [67] 0.496845104 0.892825516 0.832484920 0.438859641 0.354633748 0.477403912
#>  [73] 0.601677148 0.345379147 0.419887268 0.696210190 0.448464765 0.732971939
#>  [79] 0.291390802 0.858504622 0.668444415 0.410384682 0.156400684 0.935379170
#>  [85] 0.677896681 0.458100795 0.573604255 0.458100795 0.797736512 0.926948214
#>  [91] 0.477403912 0.677896681 0.797736512 0.400915901 0.892825516 0.242052223
#>  [97] 0.797736512 0.867082941 0.732971939 0.003180301 0.100222757 0.910010950
#> [103] 0.841203687 0.078699967 0.111878388 0.751539994 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000
#> 
#> $Time
#>    69    26   181   128    85  69.1     8   139    14    99   140   183   192 
#> 23.23 15.77 16.46 20.35 16.44 23.23 18.43 21.49 12.89 21.19 12.68  9.24 16.44 
#>   8.1   194   8.2   164   155    25   153   179     6    79   190   145    36 
#> 18.43 22.40 18.43 23.60 13.08  6.32 21.33 18.63 15.64 16.23 20.81 10.07 21.19 
#>    10  25.1   105  25.2   188   180   100    15   123 180.1    91   127    90 
#> 10.53  6.32 19.75  6.32 16.16 14.82 16.07 22.68 13.00 14.82  5.33  3.53 20.94 
#>   130    60   113  90.1  90.2 164.1    42   159 180.2 100.1 188.1   197   175 
#> 16.47 13.15 22.86 20.94 20.94 23.60 12.43 10.55 14.82 16.07 16.16 21.60 21.91 
#>    32 139.1   136 194.1 183.1   150 113.1   6.1   168   167 190.1   110   171 
#> 20.90 21.49 21.83 22.40  9.24 20.33 22.86 15.64 23.72 15.55 20.81 17.56 16.57 
#> 171.1   106    61   154   117    55    45 100.2   170 110.1   157   111   133 
#> 16.57 16.67 10.12 12.63 17.46 19.34 17.42 16.07 19.54 17.56 15.10 17.45 14.65 
#> 190.2    49    29   184 136.1 183.2    18    30 188.2  30.1 140.1   187  45.1 
#> 20.81 12.19 15.45 17.77 21.83  9.24 15.21 17.43 16.16 17.43 12.68  9.92 17.42 
#>  18.1 140.2    88  61.1  90.3 140.3 159.1 133.1    78   169 145.1    37  15.1 
#> 15.21 12.68 18.37 10.12 20.94 12.68 10.55 14.65 23.88 22.41 10.07 12.52 22.68 
#> 194.2    13   141    74   173   163   131   186    33   137   112    64  74.1 
#> 22.40 14.34 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151   182    48 112.1   132   185    80    35    65   135    27 135.1    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87   174     9  87.1    20   148   147  35.1   156 112.2 163.1    84   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102   198    72  84.1   191    46   178  53.1 182.1  33.1     1   119  74.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.1 135.2   152  35.2    47  35.3     7   142  35.4   116   193    94 135.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.2    38   176  33.2 126.1 131.1   143   161   1.1   144   7.1    44    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118 144.1    82 137.1   120 120.1   7.2    71  94.1 141.1  46.1   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[89]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007467552               0.351419883               0.328985358 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.94537859              0.01598001              0.22587104 
#>   grade_iii, Cure model 
#>              0.76640084 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 5     16.43      1  51        0         1
#> 85    16.44      1  36        0         0
#> 150   20.33      1  48        0         0
#> 129   23.41      1  53        1         0
#> 45    17.42      1  54        0         1
#> 85.1  16.44      1  36        0         0
#> 105   19.75      1  60        0         0
#> 14    12.89      1  21        0         0
#> 114   13.68      1  NA        0         0
#> 36    21.19      1  48        0         1
#> 4     17.64      1  NA        0         1
#> 4.1   17.64      1  NA        0         1
#> 41    18.02      1  40        1         0
#> 139   21.49      1  63        1         0
#> 86    23.81      1  58        0         1
#> 192   16.44      1  31        1         0
#> 24    23.89      1  38        0         0
#> 55    19.34      1  69        0         1
#> 26    15.77      1  49        0         1
#> 123   13.00      1  44        1         0
#> 99    21.19      1  38        0         1
#> 150.1 20.33      1  48        0         0
#> 8     18.43      1  32        0         0
#> 43    12.10      1  61        0         1
#> 88    18.37      1  47        0         0
#> 180   14.82      1  37        0         0
#> 49    12.19      1  48        1         0
#> 101    9.97      1  10        0         1
#> 42    12.43      1  49        0         1
#> 130   16.47      1  53        0         1
#> 18    15.21      1  49        1         0
#> 37    12.52      1  57        1         0
#> 192.1 16.44      1  31        1         0
#> 50    10.02      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 197   21.60      1  69        1         0
#> 139.1 21.49      1  63        1         0
#> 92    22.92      1  47        0         1
#> 181   16.46      1  45        0         1
#> 199   19.81      1  NA        0         1
#> 107   11.18      1  54        1         0
#> 197.1 21.60      1  69        1         0
#> 195   11.76      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 4.2   17.64      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 30    17.43      1  78        0         0
#> 177   12.53      1  75        0         0
#> 18.1  15.21      1  49        1         0
#> 4.3   17.64      1  NA        0         1
#> 13    14.34      1  54        0         1
#> 130.1 16.47      1  53        0         1
#> 52    10.42      1  52        0         1
#> 166   19.98      1  48        0         0
#> 140   12.68      1  59        1         0
#> 70     7.38      1  30        1         0
#> 180.1 14.82      1  37        0         0
#> 43.1  12.10      1  61        0         1
#> 177.1 12.53      1  75        0         0
#> 18.2  15.21      1  49        1         0
#> 170   19.54      1  43        0         1
#> 124    9.73      1  NA        1         0
#> 189   10.51      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 187    9.92      1  39        1         0
#> 167   15.55      1  56        1         0
#> 63    22.77      1  31        1         0
#> 195.1 11.76      1  NA        1         0
#> 50.1  10.02      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 50.2  10.02      1  NA        1         0
#> 170.1 19.54      1  43        0         1
#> 4.4   17.64      1  NA        0         1
#> 129.1 23.41      1  53        1         0
#> 155   13.08      1  26        0         0
#> 70.1   7.38      1  30        1         0
#> 41.1  18.02      1  40        1         0
#> 29    15.45      1  68        1         0
#> 16.1   8.71      1  71        0         1
#> 96    14.54      1  33        0         1
#> 39    15.59      1  37        0         1
#> 89    11.44      1  NA        0         0
#> 168   23.72      1  70        0         0
#> 117   17.46      1  26        0         1
#> 58    19.34      1  39        0         0
#> 145   10.07      1  65        1         0
#> 36.1  21.19      1  48        0         1
#> 155.1 13.08      1  26        0         0
#> 13.1  14.34      1  54        0         1
#> 166.1 19.98      1  48        0         0
#> 134   17.81      1  47        1         0
#> 179   18.63      1  42        0         0
#> 6     15.64      1  39        0         0
#> 59    10.16      1  NA        1         0
#> 30.1  17.43      1  78        0         0
#> 88.1  18.37      1  47        0         0
#> 39.1  15.59      1  37        0         1
#> 153.2 21.33      1  55        1         0
#> 51    18.23      1  83        0         1
#> 49.1  12.19      1  48        1         0
#> 111   17.45      1  47        0         1
#> 168.1 23.72      1  70        0         0
#> 108   18.29      1  39        0         1
#> 100   16.07      1  60        0         0
#> 85.2  16.44      1  36        0         0
#> 45.1  17.42      1  54        0         1
#> 15    22.68      1  48        0         0
#> 97    19.14      1  65        0         1
#> 194   22.40      1  38        0         1
#> 78    23.88      1  43        0         0
#> 85.3  16.44      1  36        0         0
#> 26.1  15.77      1  49        0         1
#> 109   24.00      0  48        0         0
#> 84    24.00      0  39        0         1
#> 120   24.00      0  68        0         1
#> 87    24.00      0  27        0         0
#> 17    24.00      0  38        0         1
#> 20    24.00      0  46        1         0
#> 17.1  24.00      0  38        0         1
#> 62    24.00      0  71        0         0
#> 71    24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 17.2  24.00      0  38        0         1
#> 173   24.00      0  19        0         1
#> 11    24.00      0  42        0         1
#> 80    24.00      0  41        0         0
#> 28    24.00      0  67        1         0
#> 62.1  24.00      0  71        0         0
#> 72    24.00      0  40        0         1
#> 173.1 24.00      0  19        0         1
#> 87.1  24.00      0  27        0         0
#> 67    24.00      0  25        0         0
#> 141   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 126   24.00      0  48        0         0
#> 102   24.00      0  49        0         0
#> 35    24.00      0  51        0         0
#> 109.1 24.00      0  48        0         0
#> 62.2  24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 148   24.00      0  61        1         0
#> 176   24.00      0  43        0         1
#> 82    24.00      0  34        0         0
#> 142   24.00      0  53        0         0
#> 27    24.00      0  63        1         0
#> 87.2  24.00      0  27        0         0
#> 71.1  24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 174   24.00      0  49        1         0
#> 135   24.00      0  58        1         0
#> 38    24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 143   24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 87.3  24.00      0  27        0         0
#> 82.1  24.00      0  34        0         0
#> 67.1  24.00      0  25        0         0
#> 143.1 24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 64    24.00      0  43        0         0
#> 20.1  24.00      0  46        1         0
#> 176.1 24.00      0  43        0         1
#> 131   24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 143.2 24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 160   24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 65    24.00      0  57        1         0
#> 174.1 24.00      0  49        1         0
#> 165   24.00      0  47        0         0
#> 31    24.00      0  36        0         1
#> 11.1  24.00      0  42        0         1
#> 22    24.00      0  52        1         0
#> 173.2 24.00      0  19        0         1
#> 104   24.00      0  50        1         0
#> 148.1 24.00      0  61        1         0
#> 72.1  24.00      0  40        0         1
#> 198   24.00      0  66        0         1
#> 64.1  24.00      0  43        0         0
#> 95    24.00      0  68        0         1
#> 143.3 24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 121.1 24.00      0  57        1         0
#> 9.1   24.00      0  31        1         0
#> 119.1 24.00      0  17        0         0
#> 7     24.00      0  37        1         0
#> 132.1 24.00      0  55        0         0
#> 160.1 24.00      0  31        1         0
#> 109.2 24.00      0  48        0         0
#> 137   24.00      0  45        1         0
#> 141.1 24.00      0  44        1         0
#> 121.2 24.00      0  57        1         0
#> 115   24.00      0  NA        1         0
#> 65.1  24.00      0  57        1         0
#> 147   24.00      0  76        1         0
#> 116   24.00      0  58        0         1
#> 31.1  24.00      0  36        0         1
#> 162   24.00      0  51        0         0
#> 137.1 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.945         NA        NA      NA
#> 2 age, Cure model           0.0160        NA        NA      NA
#> 3 grade_ii, Cure model      0.226         NA        NA      NA
#> 4 grade_iii, Cure model     0.766         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00747        NA        NA      NA
#> 2 grade_ii, Survival model   0.351          NA        NA      NA
#> 3 grade_iii, Survival model  0.329          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.94538           0.01598           0.22587           0.76640  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    251.8 
#> Residual Deviance: 245.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.94537859       0.01598001       0.22587104       0.76640084 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007467552      0.351419883      0.328985358 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.545480494 0.482307042 0.191258389 0.038570589 0.428006058 0.482307042
#>   [7] 0.229691137 0.780627710 0.164331622 0.353316791 0.119082374 0.014457831
#>  [13] 0.482307042 0.001947712 0.259597036 0.567735974 0.769242771 0.164331622
#>  [19] 0.191258389 0.300412518 0.872579404 0.310889257 0.678985957 0.849574420
#>  [25] 0.930557118 0.837995218 0.449634041 0.645798722 0.826421815 0.482307042
#>  [31] 0.137432099 0.101049325 0.119082374 0.064609304 0.471329642 0.895656733
#>  [37] 0.101049325 0.137432099 0.735303335 0.406456229 0.803459934 0.645798722
#>  [43] 0.712793071 0.449634041 0.907278310 0.210209799 0.792036802 0.976917859
#>  [49] 0.678985957 0.872579404 0.803459934 0.645798722 0.239805979 0.055565315
#>  [55] 0.942163696 0.623329681 0.073682967 0.953761413 0.239805979 0.038570589
#>  [61] 0.746633722 0.976917859 0.353316791 0.634549803 0.953761413 0.701473467
#>  [67] 0.601117002 0.022010312 0.385125666 0.259597036 0.918908470 0.164331622
#>  [73] 0.746633722 0.712793071 0.210209799 0.374420763 0.290012899 0.589883501
#>  [79] 0.406456229 0.310889257 0.601117002 0.137432099 0.342567251 0.849574420
#>  [85] 0.395787813 0.022010312 0.331902183 0.556568060 0.482307042 0.428006058
#>  [91] 0.082617991 0.279712744 0.091854635 0.007350576 0.482307042 0.567735974
#>  [97] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000
#> 
#> $Time
#>     5    85   150   129    45  85.1   105    14    36    41   139    86   192 
#> 16.43 16.44 20.33 23.41 17.42 16.44 19.75 12.89 21.19 18.02 21.49 23.81 16.44 
#>    24    55    26   123    99 150.1     8    43    88   180    49   101    42 
#> 23.89 19.34 15.77 13.00 21.19 20.33 18.43 12.10 18.37 14.82 12.19  9.97 12.43 
#>   130    18    37 192.1   153   197 139.1    92   181   107 197.1 153.1    60 
#> 16.47 15.21 12.52 16.44 21.33 21.60 21.49 22.92 16.46 11.18 21.60 21.33 13.15 
#>    30   177  18.1    13 130.1    52   166   140    70 180.1  43.1 177.1  18.2 
#> 17.43 12.53 15.21 14.34 16.47 10.42 19.98 12.68  7.38 14.82 12.10 12.53 15.21 
#>   170    69   187   167    63    16 170.1 129.1   155  70.1  41.1    29  16.1 
#> 19.54 23.23  9.92 15.55 22.77  8.71 19.54 23.41 13.08  7.38 18.02 15.45  8.71 
#>    96    39   168   117    58   145  36.1 155.1  13.1 166.1   134   179     6 
#> 14.54 15.59 23.72 17.46 19.34 10.07 21.19 13.08 14.34 19.98 17.81 18.63 15.64 
#>  30.1  88.1  39.1 153.2    51  49.1   111 168.1   108   100  85.2  45.1    15 
#> 17.43 18.37 15.59 21.33 18.23 12.19 17.45 23.72 18.29 16.07 16.44 17.42 22.68 
#>    97   194    78  85.3  26.1   109    84   120    87    17    20  17.1    62 
#> 19.14 22.40 23.88 16.44 15.77 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71   119  17.2   173    11    80    28  62.1    72 173.1  87.1    67   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46   126   102    35 109.1  62.2   132   148   176    82   142    27  87.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.1    83   174   135    38   161   143   178  87.3  82.1  67.1 143.1    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1 176.1   131     9 143.2   191   160   121    65 174.1   165    31  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22 173.2   104 148.1  72.1   198  64.1    95 143.3    48 121.1   9.1 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7 132.1 160.1 109.2   137 141.1 121.2  65.1   147   116  31.1   162 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[90]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01331024                0.70057315                0.50261909 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.424912406             0.003019631             0.282689060 
#>   grade_iii, Cure model 
#>             1.110840163 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 58    19.34      1  39        0         0
#> 190   20.81      1  42        1         0
#> 13    14.34      1  54        0         1
#> 150   20.33      1  48        0         0
#> 125   15.65      1  67        1         0
#> 25     6.32      1  34        1         0
#> 188   16.16      1  46        0         1
#> 5     16.43      1  51        0         1
#> 149    8.37      1  33        1         0
#> 10    10.53      1  34        0         0
#> 140   12.68      1  59        1         0
#> 127    3.53      1  62        0         1
#> 25.1   6.32      1  34        1         0
#> 15    22.68      1  48        0         0
#> 25.2   6.32      1  34        1         0
#> 180   14.82      1  37        0         0
#> 199   19.81      1  NA        0         1
#> 192   16.44      1  31        1         0
#> 114   13.68      1  NA        0         0
#> 52    10.42      1  52        0         1
#> 168   23.72      1  70        0         0
#> 85    16.44      1  36        0         0
#> 145   10.07      1  65        1         0
#> 16     8.71      1  71        0         1
#> 45    17.42      1  54        0         1
#> 101    9.97      1  10        0         1
#> 49    12.19      1  48        1         0
#> 58.1  19.34      1  39        0         0
#> 128   20.35      1  35        0         1
#> 188.1 16.16      1  46        0         1
#> 97    19.14      1  65        0         1
#> 181   16.46      1  45        0         1
#> 154   12.63      1  20        1         0
#> 26    15.77      1  49        0         1
#> 92    22.92      1  47        0         1
#> 99    21.19      1  38        0         1
#> 61    10.12      1  36        0         1
#> 40    18.00      1  28        1         0
#> 76    19.22      1  54        0         1
#> 88    18.37      1  47        0         0
#> 159   10.55      1  50        0         1
#> 41    18.02      1  40        1         0
#> 127.1  3.53      1  62        0         1
#> 159.1 10.55      1  50        0         1
#> 42    12.43      1  49        0         1
#> 14    12.89      1  21        0         0
#> 106   16.67      1  49        1         0
#> 139   21.49      1  63        1         0
#> 183    9.24      1  67        1         0
#> 40.1  18.00      1  28        1         0
#> 159.2 10.55      1  50        0         1
#> 58.2  19.34      1  39        0         0
#> 158   20.14      1  74        1         0
#> 168.1 23.72      1  70        0         0
#> 81    14.06      1  34        0         0
#> 108   18.29      1  39        0         1
#> 158.1 20.14      1  74        1         0
#> 166   19.98      1  48        0         0
#> 108.1 18.29      1  39        0         1
#> 93    10.33      1  52        0         1
#> 157   15.10      1  47        0         0
#> 124    9.73      1  NA        1         0
#> 124.1  9.73      1  NA        1         0
#> 154.1 12.63      1  20        1         0
#> 188.2 16.16      1  46        0         1
#> 15.1  22.68      1  48        0         0
#> 66    22.13      1  53        0         0
#> 4     17.64      1  NA        0         1
#> 192.1 16.44      1  31        1         0
#> 51    18.23      1  83        0         1
#> 96    14.54      1  33        0         1
#> 114.1 13.68      1  NA        0         0
#> 181.1 16.46      1  45        0         1
#> 175   21.91      1  43        0         0
#> 91     5.33      1  61        0         1
#> 150.1 20.33      1  48        0         0
#> 164   23.60      1  76        0         1
#> 91.1   5.33      1  61        0         1
#> 166.1 19.98      1  48        0         0
#> 183.1  9.24      1  67        1         0
#> 145.1 10.07      1  65        1         0
#> 23    16.92      1  61        0         0
#> 164.1 23.60      1  76        0         1
#> 183.2  9.24      1  67        1         0
#> 114.2 13.68      1  NA        0         0
#> 42.1  12.43      1  49        0         1
#> 99.1  21.19      1  38        0         1
#> 10.1  10.53      1  34        0         0
#> 96.1  14.54      1  33        0         1
#> 30    17.43      1  78        0         0
#> 96.2  14.54      1  33        0         1
#> 92.1  22.92      1  47        0         1
#> 190.1 20.81      1  42        1         0
#> 76.1  19.22      1  54        0         1
#> 63    22.77      1  31        1         0
#> 99.2  21.19      1  38        0         1
#> 167   15.55      1  56        1         0
#> 43    12.10      1  61        0         1
#> 123   13.00      1  44        1         0
#> 91.2   5.33      1  61        0         1
#> 105   19.75      1  60        0         0
#> 128.1 20.35      1  35        0         1
#> 5.1   16.43      1  51        0         1
#> 181.2 16.46      1  45        0         1
#> 195   11.76      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 184   17.77      1  38        0         0
#> 189   10.51      1  NA        1         0
#> 192.2 16.44      1  31        1         0
#> 10.2  10.53      1  34        0         0
#> 15.2  22.68      1  48        0         0
#> 111   17.45      1  47        0         1
#> 121   24.00      0  57        1         0
#> 119   24.00      0  17        0         0
#> 193   24.00      0  45        0         1
#> 172   24.00      0  41        0         0
#> 120   24.00      0  68        0         1
#> 95    24.00      0  68        0         1
#> 19    24.00      0  57        0         1
#> 27    24.00      0  63        1         0
#> 87    24.00      0  27        0         0
#> 21    24.00      0  47        0         0
#> 163   24.00      0  66        0         0
#> 19.1  24.00      0  57        0         1
#> 83    24.00      0   6        0         0
#> 122   24.00      0  66        0         0
#> 196   24.00      0  19        0         0
#> 185   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 1     24.00      0  23        1         0
#> 148   24.00      0  61        1         0
#> 172.1 24.00      0  41        0         0
#> 178   24.00      0  52        1         0
#> 47    24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 138   24.00      0  44        1         0
#> 178.1 24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 152   24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 103   24.00      0  56        1         0
#> 126   24.00      0  48        0         0
#> 48    24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 191   24.00      0  60        0         1
#> 132   24.00      0  55        0         0
#> 87.1  24.00      0  27        0         0
#> 11    24.00      0  42        0         1
#> 7.1   24.00      0  37        1         0
#> 118   24.00      0  44        1         0
#> 95.1  24.00      0  68        0         1
#> 162   24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 152.1 24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 112.1 24.00      0  61        0         0
#> 152.2 24.00      0  36        0         1
#> 102   24.00      0  49        0         0
#> 148.1 24.00      0  61        1         0
#> 9     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 102.1 24.00      0  49        0         0
#> 160   24.00      0  31        1         0
#> 21.1  24.00      0  47        0         0
#> 9.1   24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 9.2   24.00      0  31        1         0
#> 27.1  24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 12    24.00      0  63        0         0
#> 146   24.00      0  63        1         0
#> 48.1  24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 17    24.00      0  38        0         1
#> 122.1 24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 12.1  24.00      0  63        0         0
#> 95.2  24.00      0  68        0         1
#> 54    24.00      0  53        1         0
#> 53.1  24.00      0  32        0         1
#> 200   24.00      0  64        0         0
#> 53.2  24.00      0  32        0         1
#> 103.1 24.00      0  56        1         0
#> 71    24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 143.1 24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 196.1 24.00      0  19        0         0
#> 102.2 24.00      0  49        0         0
#> 64    24.00      0  43        0         0
#> 34    24.00      0  36        0         0
#> 156   24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 2     24.00      0   9        0         0
#> 131   24.00      0  66        0         0
#> 147.1 24.00      0  76        1         0
#> 87.2  24.00      0  27        0         0
#> 121.1 24.00      0  57        1         0
#> 54.1  24.00      0  53        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.425          NA        NA      NA
#> 2 age, Cure model          0.00302        NA        NA      NA
#> 3 grade_ii, Cure model     0.283          NA        NA      NA
#> 4 grade_iii, Cure model    1.11           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0133        NA        NA      NA
#> 2 grade_ii, Survival model    0.701         NA        NA      NA
#> 3 grade_iii, Survival model   0.503         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.42491           0.00302           0.28269           1.11084  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 250.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.424912406      0.003019631      0.282689060      1.110840163 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01331024       0.70057315       0.50261909 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.1905784440 0.0998484725 0.5924800507 0.1306784709 0.5171989924
#>   [6] 0.9114473795 0.4751792009 0.4542057010 0.9002258234 0.7445965653
#>  [11] 0.6363526059 0.9775836267 0.9114473795 0.0334675737 0.9114473795
#>  [16] 0.5495215786 0.4135237607 0.7775468489 0.0004668229 0.4135237607
#>  [21] 0.8111078081 0.8889623366 0.3502457034 0.8334335068 0.6904101809
#>  [26] 0.1905784440 0.1153004528 0.4751792009 0.2381371490 0.3821385545
#>  [31] 0.6473776959 0.5065033538 0.0161526971 0.0770870893 0.7999141722
#>  [36] 0.2994503729 0.2186589710 0.2482119875 0.7121687651 0.2890777633
#>  [41] 0.9775836267 0.7121687651 0.6688458310 0.6253430166 0.3714599480
#>  [46] 0.0686297508 0.8557467558 0.2994503729 0.7121687651 0.1905784440
#>  [51] 0.1469624423 0.0004668229 0.6033941046 0.2584806914 0.1469624423
#>  [56] 0.1637071344 0.2584806914 0.7887168210 0.5386771305 0.6473776959
#>  [61] 0.4751792009 0.0334675737 0.0524548806 0.4135237607 0.2786365925
#>  [66] 0.5604499004 0.3821385545 0.0603057300 0.9443614336 0.1306784709
#>  [71] 0.0059124451 0.9443614336 0.1637071344 0.8557467558 0.8111078081
#>  [76] 0.3607661279 0.0059124451 0.8557467558 0.6688458310 0.0770870893
#>  [81] 0.7445965653 0.5604499004 0.3397863639 0.5604499004 0.0161526971
#>  [86] 0.0998484725 0.2186589710 0.0275004291 0.0770870893 0.5279332725
#>  [91] 0.7012670206 0.6143804948 0.9443614336 0.1813023874 0.1153004528
#>  [96] 0.4542057010 0.3821385545 0.8446047921 0.3193123256 0.4135237607
#> [101] 0.7445965653 0.0334675737 0.3295309357 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    58   190    13   150   125    25   188     5   149    10   140   127  25.1 
#> 19.34 20.81 14.34 20.33 15.65  6.32 16.16 16.43  8.37 10.53 12.68  3.53  6.32 
#>    15  25.2   180   192    52   168    85   145    16    45   101    49  58.1 
#> 22.68  6.32 14.82 16.44 10.42 23.72 16.44 10.07  8.71 17.42  9.97 12.19 19.34 
#>   128 188.1    97   181   154    26    92    99    61    40    76    88   159 
#> 20.35 16.16 19.14 16.46 12.63 15.77 22.92 21.19 10.12 18.00 19.22 18.37 10.55 
#>    41 127.1 159.1    42    14   106   139   183  40.1 159.2  58.2   158 168.1 
#> 18.02  3.53 10.55 12.43 12.89 16.67 21.49  9.24 18.00 10.55 19.34 20.14 23.72 
#>    81   108 158.1   166 108.1    93   157 154.1 188.2  15.1    66 192.1    51 
#> 14.06 18.29 20.14 19.98 18.29 10.33 15.10 12.63 16.16 22.68 22.13 16.44 18.23 
#>    96 181.1   175    91 150.1   164  91.1 166.1 183.1 145.1    23 164.1 183.2 
#> 14.54 16.46 21.91  5.33 20.33 23.60  5.33 19.98  9.24 10.07 16.92 23.60  9.24 
#>  42.1  99.1  10.1  96.1    30  96.2  92.1 190.1  76.1    63  99.2   167    43 
#> 12.43 21.19 10.53 14.54 17.43 14.54 22.92 20.81 19.22 22.77 21.19 15.55 12.10 
#>   123  91.2   105 128.1   5.1 181.2   187   184 192.2  10.2  15.2   111   121 
#> 13.00  5.33 19.75 20.35 16.43 16.46  9.92 17.77 16.44 10.53 22.68 17.45 24.00 
#>   119   193   172   120    95    19    27    87    21   163  19.1    83   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196   185   112     1   148 172.1   178    47   182   138 178.1    53   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   126    48     7   191   132  87.1    11   7.1   118  95.1   162   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173 152.1   198 112.1 152.2   102 148.1     9 102.1   160  21.1   9.1    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.2  27.1    98    12   146  48.1   142    17 122.1    74  12.1  95.2    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1   200  53.2 103.1    71   137 143.1   161 196.1 102.2    64    34   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147     2   131 147.1  87.2 121.1  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[91]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01345108                0.42959409                0.31223798 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.146307292            -0.002597576            -0.240562560 
#>   grade_iii, Cure model 
#>             0.722126717 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 96    14.54      1  33        0         1
#> 195   11.76      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 108   18.29      1  39        0         1
#> 97    19.14      1  65        0         1
#> 105   19.75      1  60        0         0
#> 105.1 19.75      1  60        0         0
#> 177   12.53      1  75        0         0
#> 43    12.10      1  61        0         1
#> 195.1 11.76      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 16     8.71      1  71        0         1
#> 189   10.51      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 78    23.88      1  43        0         0
#> 153.1 21.33      1  55        1         0
#> 40    18.00      1  28        1         0
#> 184   17.77      1  38        0         0
#> 199   19.81      1  NA        0         1
#> 14    12.89      1  21        0         0
#> 40.1  18.00      1  28        1         0
#> 45    17.42      1  54        0         1
#> 45.1  17.42      1  54        0         1
#> 101    9.97      1  10        0         1
#> 91     5.33      1  61        0         1
#> 157   15.10      1  47        0         0
#> 66    22.13      1  53        0         0
#> 170   19.54      1  43        0         1
#> 68    20.62      1  44        0         0
#> 6     15.64      1  39        0         0
#> 14.1  12.89      1  21        0         0
#> 157.1 15.10      1  47        0         0
#> 190   20.81      1  42        1         0
#> 189.1 10.51      1  NA        1         0
#> 78.1  23.88      1  43        0         0
#> 57    14.46      1  45        0         1
#> 42    12.43      1  49        0         1
#> 124    9.73      1  NA        1         0
#> 179.1 18.63      1  42        0         0
#> 183    9.24      1  67        1         0
#> 154   12.63      1  20        1         0
#> 170.1 19.54      1  43        0         1
#> 180   14.82      1  37        0         0
#> 25     6.32      1  34        1         0
#> 129   23.41      1  53        1         0
#> 86    23.81      1  58        0         1
#> 188   16.16      1  46        0         1
#> 164   23.60      1  76        0         1
#> 77     7.27      1  67        0         1
#> 70     7.38      1  30        1         0
#> 111   17.45      1  47        0         1
#> 25.1   6.32      1  34        1         0
#> 123   13.00      1  44        1         0
#> 42.1  12.43      1  49        0         1
#> 78.2  23.88      1  43        0         0
#> 32    20.90      1  37        1         0
#> 157.2 15.10      1  47        0         0
#> 108.1 18.29      1  39        0         1
#> 88    18.37      1  47        0         0
#> 155   13.08      1  26        0         0
#> 171   16.57      1  41        0         1
#> 69    23.23      1  25        0         1
#> 145   10.07      1  65        1         0
#> 105.2 19.75      1  60        0         0
#> 37    12.52      1  57        1         0
#> 66.1  22.13      1  53        0         0
#> 133   14.65      1  57        0         0
#> 70.1   7.38      1  30        1         0
#> 129.1 23.41      1  53        1         0
#> 188.1 16.16      1  46        0         1
#> 14.2  12.89      1  21        0         0
#> 29    15.45      1  68        1         0
#> 16.1   8.71      1  71        0         1
#> 92    22.92      1  47        0         1
#> 39    15.59      1  37        0         1
#> 197   21.60      1  69        1         0
#> 153.2 21.33      1  55        1         0
#> 171.1 16.57      1  41        0         1
#> 133.1 14.65      1  57        0         0
#> 26    15.77      1  49        0         1
#> 157.3 15.10      1  47        0         0
#> 89    11.44      1  NA        0         0
#> 164.1 23.60      1  76        0         1
#> 15    22.68      1  48        0         0
#> 45.2  17.42      1  54        0         1
#> 197.1 21.60      1  69        1         0
#> 81    14.06      1  34        0         0
#> 159   10.55      1  50        0         1
#> 187    9.92      1  39        1         0
#> 195.2 11.76      1  NA        1         0
#> 117.1 17.46      1  26        0         1
#> 166   19.98      1  48        0         0
#> 179.2 18.63      1  42        0         0
#> 36    21.19      1  48        0         1
#> 30    17.43      1  78        0         0
#> 55    19.34      1  69        0         1
#> 68.1  20.62      1  44        0         0
#> 69.1  23.23      1  25        0         1
#> 140   12.68      1  59        1         0
#> 5     16.43      1  51        0         1
#> 99    21.19      1  38        0         1
#> 14.3  12.89      1  21        0         0
#> 90    20.94      1  50        0         1
#> 101.1  9.97      1  10        0         1
#> 175   21.91      1  43        0         0
#> 59    10.16      1  NA        1         0
#> 15.1  22.68      1  48        0         0
#> 189.2 10.51      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 187.1  9.92      1  39        1         0
#> 13    14.34      1  54        0         1
#> 43.1  12.10      1  61        0         1
#> 120   24.00      0  68        0         1
#> 160   24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 38    24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 112   24.00      0  61        0         0
#> 122   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 152   24.00      0  36        0         1
#> 141   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 1     24.00      0  23        1         0
#> 17    24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 115   24.00      0  NA        1         0
#> 47.1  24.00      0  38        0         1
#> 185   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 132   24.00      0  55        0         0
#> 163   24.00      0  66        0         0
#> 82.1  24.00      0  34        0         0
#> 126   24.00      0  48        0         0
#> 120.1 24.00      0  68        0         1
#> 74    24.00      0  43        0         1
#> 120.2 24.00      0  68        0         1
#> 185.1 24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 11    24.00      0  42        0         1
#> 148   24.00      0  61        1         0
#> 191   24.00      0  60        0         1
#> 103.1 24.00      0  56        1         0
#> 94.1  24.00      0  51        0         1
#> 122.1 24.00      0  66        0         0
#> 74.1  24.00      0  43        0         1
#> 122.2 24.00      0  66        0         0
#> 196   24.00      0  19        0         0
#> 135   24.00      0  58        1         0
#> 82.2  24.00      0  34        0         0
#> 131   24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 54    24.00      0  53        1         0
#> 104   24.00      0  50        1         0
#> 82.3  24.00      0  34        0         0
#> 75    24.00      0  21        1         0
#> 33    24.00      0  53        0         0
#> 102   24.00      0  49        0         0
#> 115.1 24.00      0  NA        1         0
#> 198   24.00      0  66        0         1
#> 83    24.00      0   6        0         0
#> 34    24.00      0  36        0         0
#> 146   24.00      0  63        1         0
#> 83.1  24.00      0   6        0         0
#> 143   24.00      0  51        0         0
#> 17.1  24.00      0  38        0         1
#> 35    24.00      0  51        0         0
#> 112.2 24.00      0  61        0         0
#> 115.2 24.00      0  NA        1         0
#> 198.1 24.00      0  66        0         1
#> 53    24.00      0  32        0         1
#> 103.2 24.00      0  56        1         0
#> 163.1 24.00      0  66        0         0
#> 71.1  24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 17.2  24.00      0  38        0         1
#> 28    24.00      0  67        1         0
#> 38.1  24.00      0  31        1         0
#> 132.1 24.00      0  55        0         0
#> 75.1  24.00      0  21        1         0
#> 103.3 24.00      0  56        1         0
#> 186   24.00      0  45        1         0
#> 198.2 24.00      0  66        0         1
#> 67.1  24.00      0  25        0         0
#> 126.1 24.00      0  48        0         0
#> 83.2  24.00      0   6        0         0
#> 138   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 118   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 121   24.00      0  57        1         0
#> 138.1 24.00      0  44        1         0
#> 186.1 24.00      0  45        1         0
#> 21.1  24.00      0  47        0         0
#> 118.1 24.00      0  44        1         0
#> 9.1   24.00      0  31        1         0
#> 71.2  24.00      0  51        0         0
#> 185.2 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.146          NA        NA      NA
#> 2 age, Cure model         -0.00260        NA        NA      NA
#> 3 grade_ii, Cure model    -0.241          NA        NA      NA
#> 4 grade_iii, Cure model    0.722          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0135        NA        NA      NA
#> 2 grade_ii, Survival model    0.430         NA        NA      NA
#> 3 grade_iii, Survival model   0.312         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.146307         -0.002598         -0.240563          0.722127  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 250.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.146307292     -0.002597576     -0.240562560      0.722126717 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01345108       0.42959409       0.31223798 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.5653617723 0.3024332642 0.2534965992 0.2068390059 0.1560883459
#>   [6] 0.1560883459 0.7162168346 0.7686943092 0.0778198621 0.8897188997
#>  [11] 0.2159755127 0.0009628672 0.0778198621 0.2729952589 0.2924190797
#>  [16] 0.6402691178 0.2729952589 0.3426110349 0.3426110349 0.8224505735
#>  [21] 0.9860237054 0.4832399926 0.0478178743 0.1806964351 0.1330675214
#>  [26] 0.4493523005 0.6402691178 0.4832399926 0.1256862202 0.0009628672
#>  [31] 0.5776525213 0.7424029021 0.2159755127 0.8761029098 0.7033070003
#>  [36] 0.1806964351 0.5291385314 0.9584239980 0.0162164854 0.0057278325
#>  [41] 0.4164444558 0.0088328972 0.9445343906 0.9171374271 0.3221777995
#>  [46] 0.9584239980 0.6276140297 0.7424029021 0.0009628672 0.1183594964
#>  [51] 0.4832399926 0.2534965992 0.2436996356 0.6149970526 0.3842445553
#>  [56] 0.0246019321 0.8088590564 0.1560883459 0.7292762314 0.0478178743
#>  [61] 0.5411118023 0.9171374271 0.0162164854 0.4164444558 0.6402691178
#>  [66] 0.4718588798 0.8897188997 0.0330849160 0.4605823141 0.0651779645
#>  [71] 0.0778198621 0.3842445553 0.5411118023 0.4382357029 0.4832399926
#>  [76] 0.0088328972 0.0378192350 0.3426110349 0.0651779645 0.6024560120
#>  [81] 0.7953490406 0.8492383117 0.3024332642 0.1481482218 0.2159755127
#>  [86] 0.0972144744 0.3322923695 0.1978728303 0.1330675214 0.0246019321
#>  [91] 0.6903557651 0.4055550114 0.0972144744 0.6402691178 0.1110626415
#>  [96] 0.8224505735 0.0590147514 0.0378192350 0.3735653185 0.8492383117
#> [101] 0.5900100687 0.7686943092 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000
#> 
#> $Time
#>    96   117   108    97   105 105.1   177    43   153    16   179    78 153.1 
#> 14.54 17.46 18.29 19.14 19.75 19.75 12.53 12.10 21.33  8.71 18.63 23.88 21.33 
#>    40   184    14  40.1    45  45.1   101    91   157    66   170    68     6 
#> 18.00 17.77 12.89 18.00 17.42 17.42  9.97  5.33 15.10 22.13 19.54 20.62 15.64 
#>  14.1 157.1   190  78.1    57    42 179.1   183   154 170.1   180    25   129 
#> 12.89 15.10 20.81 23.88 14.46 12.43 18.63  9.24 12.63 19.54 14.82  6.32 23.41 
#>    86   188   164    77    70   111  25.1   123  42.1  78.2    32 157.2 108.1 
#> 23.81 16.16 23.60  7.27  7.38 17.45  6.32 13.00 12.43 23.88 20.90 15.10 18.29 
#>    88   155   171    69   145 105.2    37  66.1   133  70.1 129.1 188.1  14.2 
#> 18.37 13.08 16.57 23.23 10.07 19.75 12.52 22.13 14.65  7.38 23.41 16.16 12.89 
#>    29  16.1    92    39   197 153.2 171.1 133.1    26 157.3 164.1    15  45.2 
#> 15.45  8.71 22.92 15.59 21.60 21.33 16.57 14.65 15.77 15.10 23.60 22.68 17.42 
#> 197.1    81   159   187 117.1   166 179.2    36    30    55  68.1  69.1   140 
#> 21.60 14.06 10.55  9.92 17.46 19.98 18.63 21.19 17.43 19.34 20.62 23.23 12.68 
#>     5    99  14.3    90 101.1   175  15.1   106 187.1    13  43.1   120   160 
#> 16.43 21.19 12.89 20.94  9.97 21.91 22.68 16.67  9.92 14.34 12.10 24.00 24.00 
#>   103    38    94   112   122    47   152   141   161     1    17    82  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185    21   132   163  82.1   126 120.1    74 120.2 185.1 112.1    11   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191 103.1  94.1 122.1  74.1 122.2   196   135  82.2   131     9    71   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54   104  82.3    75    33   102   198    83    34   146  83.1   143  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35 112.2 198.1    53 103.2 163.1  71.1    67  17.2    28  38.1 132.1  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.3   186 198.2  67.1 126.1  83.2   138   147   118    65   121 138.1 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.1 118.1   9.1  71.2 185.2 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[92]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002457353               0.880731603               0.454440204 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.063925875             0.001460444            -0.320837352 
#>   grade_iii, Cure model 
#>             0.898584068 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 68    20.62      1  44        0         0
#> 45    17.42      1  54        0         1
#> 91     5.33      1  61        0         1
#> 136   21.83      1  43        0         1
#> 30    17.43      1  78        0         0
#> 79    16.23      1  54        1         0
#> 50    10.02      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 110   17.56      1  65        0         1
#> 105   19.75      1  60        0         0
#> 157   15.10      1  47        0         0
#> 108   18.29      1  39        0         1
#> 39    15.59      1  37        0         1
#> 127    3.53      1  62        0         1
#> 100   16.07      1  60        0         0
#> 194   22.40      1  38        0         1
#> 136.1 21.83      1  43        0         1
#> 91.1   5.33      1  61        0         1
#> 127.1  3.53      1  62        0         1
#> 194.1 22.40      1  38        0         1
#> 69    23.23      1  25        0         1
#> 32    20.90      1  37        1         0
#> 150   20.33      1  48        0         0
#> 78    23.88      1  43        0         0
#> 114   13.68      1  NA        0         0
#> 169   22.41      1  46        0         0
#> 136.2 21.83      1  43        0         1
#> 154   12.63      1  20        1         0
#> 194.2 22.40      1  38        0         1
#> 175   21.91      1  43        0         0
#> 4     17.64      1  NA        0         1
#> 5     16.43      1  51        0         1
#> 42    12.43      1  49        0         1
#> 166   19.98      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 14    12.89      1  21        0         0
#> 89    11.44      1  NA        0         0
#> 192   16.44      1  31        1         0
#> 125   15.65      1  67        1         0
#> 43    12.10      1  61        0         1
#> 66    22.13      1  53        0         0
#> 37    12.52      1  57        1         0
#> 25     6.32      1  34        1         0
#> 63    22.77      1  31        1         0
#> 43.1  12.10      1  61        0         1
#> 171   16.57      1  41        0         1
#> 106   16.67      1  49        1         0
#> 107   11.18      1  54        1         0
#> 153   21.33      1  55        1         0
#> 190   20.81      1  42        1         0
#> 8     18.43      1  32        0         0
#> 189   10.51      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 39.1  15.59      1  37        0         1
#> 40    18.00      1  28        1         0
#> 179   18.63      1  42        0         0
#> 125.1 15.65      1  67        1         0
#> 52    10.42      1  52        0         1
#> 113   22.86      1  34        0         0
#> 183    9.24      1  67        1         0
#> 190.1 20.81      1  42        1         0
#> 195   11.76      1  NA        1         0
#> 45.1  17.42      1  54        0         1
#> 101    9.97      1  10        0         1
#> 157.1 15.10      1  47        0         0
#> 190.2 20.81      1  42        1         0
#> 194.3 22.40      1  38        0         1
#> 164   23.60      1  76        0         1
#> 89.1  11.44      1  NA        0         0
#> 8.1   18.43      1  32        0         0
#> 14.1  12.89      1  21        0         0
#> 37.1  12.52      1  57        1         0
#> 175.1 21.91      1  43        0         0
#> 55    19.34      1  69        0         1
#> 30.1  17.43      1  78        0         0
#> 101.1  9.97      1  10        0         1
#> 168   23.72      1  70        0         0
#> 171.1 16.57      1  41        0         1
#> 68.1  20.62      1  44        0         0
#> 187    9.92      1  39        1         0
#> 60    13.15      1  38        1         0
#> 159.1 10.55      1  50        0         1
#> 91.2   5.33      1  61        0         1
#> 60.1  13.15      1  38        1         0
#> 89.2  11.44      1  NA        0         0
#> 194.4 22.40      1  38        0         1
#> 164.1 23.60      1  76        0         1
#> 168.1 23.72      1  70        0         0
#> 164.2 23.60      1  76        0         1
#> 188   16.16      1  46        0         1
#> 10    10.53      1  34        0         0
#> 155   13.08      1  26        0         0
#> 51    18.23      1  83        0         1
#> 24    23.89      1  38        0         0
#> 88    18.37      1  47        0         0
#> 117.1 17.46      1  26        0         1
#> 69.1  23.23      1  25        0         1
#> 179.1 18.63      1  42        0         0
#> 39.2  15.59      1  37        0         1
#> 24.1  23.89      1  38        0         0
#> 88.1  18.37      1  47        0         0
#> 175.2 21.91      1  43        0         0
#> 89.3  11.44      1  NA        0         0
#> 10.1  10.53      1  34        0         0
#> 42.1  12.43      1  49        0         1
#> 169.1 22.41      1  46        0         0
#> 195.1 11.76      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 14.2  12.89      1  21        0         0
#> 8.2   18.43      1  32        0         0
#> 25.1   6.32      1  34        1         0
#> 119   24.00      0  17        0         0
#> 83    24.00      0   6        0         0
#> 11    24.00      0  42        0         1
#> 20    24.00      0  46        1         0
#> 174   24.00      0  49        1         0
#> 71    24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 142   24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 80    24.00      0  41        0         0
#> 121   24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 65    24.00      0  57        1         0
#> 11.1  24.00      0  42        0         1
#> 34    24.00      0  36        0         0
#> 22    24.00      0  52        1         0
#> 172   24.00      0  41        0         0
#> 1     24.00      0  23        1         0
#> 135   24.00      0  58        1         0
#> 38    24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 122   24.00      0  66        0         0
#> 38.1  24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 74    24.00      0  43        0         1
#> 73    24.00      0  NA        0         1
#> 198   24.00      0  66        0         1
#> 172.2 24.00      0  41        0         0
#> 161   24.00      0  45        0         0
#> 31    24.00      0  36        0         1
#> 21    24.00      0  47        0         0
#> 160   24.00      0  31        1         0
#> 48.1  24.00      0  31        1         0
#> 121.1 24.00      0  57        1         0
#> 103   24.00      0  56        1         0
#> 178   24.00      0  52        1         0
#> 21.1  24.00      0  47        0         0
#> 160.1 24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 174.1 24.00      0  49        1         0
#> 2     24.00      0   9        0         0
#> 182   24.00      0  35        0         0
#> 67    24.00      0  25        0         0
#> 162   24.00      0  51        0         0
#> 174.2 24.00      0  49        1         0
#> 146   24.00      0  63        1         0
#> 19    24.00      0  57        0         1
#> 3     24.00      0  31        1         0
#> 160.2 24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 185   24.00      0  44        1         0
#> 119.1 24.00      0  17        0         0
#> 73.1  24.00      0  NA        0         1
#> 48.2  24.00      0  31        1         0
#> 191.1 24.00      0  60        0         1
#> 185.1 24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 27    24.00      0  63        1         0
#> 122.1 24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 20.1  24.00      0  46        1         0
#> 102   24.00      0  49        0         0
#> 82    24.00      0  34        0         0
#> 74.1  24.00      0  43        0         1
#> 84    24.00      0  39        0         1
#> 162.1 24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 17    24.00      0  38        0         1
#> 53    24.00      0  32        0         1
#> 71.1  24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 148   24.00      0  61        1         0
#> 146.1 24.00      0  63        1         0
#> 2.1   24.00      0   9        0         0
#> 132.1 24.00      0  55        0         0
#> 182.1 24.00      0  35        0         0
#> 46    24.00      0  71        0         0
#> 94.1  24.00      0  51        0         1
#> 87    24.00      0  27        0         0
#> 118   24.00      0  44        1         0
#> 73.2  24.00      0  NA        0         1
#> 120   24.00      0  68        0         1
#> 142.1 24.00      0  53        0         0
#> 12    24.00      0  63        0         0
#> 143.1 24.00      0  51        0         0
#> 3.1   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0639         NA        NA      NA
#> 2 age, Cure model          0.00146        NA        NA      NA
#> 3 grade_ii, Cure model    -0.321          NA        NA      NA
#> 4 grade_iii, Cure model    0.899          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00246        NA        NA      NA
#> 2 grade_ii, Survival model   0.881          NA        NA      NA
#> 3 grade_iii, Survival model  0.454          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.06393           0.00146          -0.32084           0.89858  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 245.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.063925875      0.001460444     -0.320837352      0.898584068 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002457353      0.880731603      0.454440204 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.41216197 0.61357109 0.96503330 0.32896018 0.59501167 0.67646833
#>   [7] 0.81586473 0.56710245 0.45090594 0.75186372 0.53812498 0.71910898
#>  [13] 0.98602536 0.69374702 0.22813587 0.32896018 0.96503330 0.98602536
#>  [19] 0.22813587 0.14524428 0.37314910 0.43138793 0.04455205 0.20168734
#>  [25] 0.32896018 0.82378818 0.22813587 0.29434480 0.66768162 0.84687830
#>  [31] 0.44113492 0.57655271 0.79207577 0.65884962 0.70237891 0.86203426
#>  [37] 0.28246952 0.83161402 0.95087735 0.18819683 0.86203426 0.64101050
#>  [43] 0.63191992 0.87709595 0.36212362 0.38379619 0.48977826 0.88458751
#>  [49] 0.71910898 0.55759790 0.47043800 0.70237891 0.91424994 0.17339645
#>  [55] 0.94364099 0.38379619 0.61357109 0.92167743 0.75186372 0.38379619
#>  [61] 0.22813587 0.10130201 0.48977826 0.79207577 0.83161402 0.29434480
#>  [67] 0.46070608 0.59501167 0.92167743 0.06433561 0.64101050 0.41216197
#>  [73] 0.93634610 0.76817284 0.88458751 0.96503330 0.76817284 0.22813587
#>  [79] 0.10130201 0.06433561 0.10130201 0.68512984 0.89940892 0.78407760
#>  [85] 0.54788606 0.01486159 0.51862875 0.57655271 0.14524428 0.47043800
#>  [91] 0.71910898 0.01486159 0.51862875 0.29434480 0.89940892 0.84687830
#>  [97] 0.20168734 0.74368392 0.79207577 0.48977826 0.95087735 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    68    45    91   136    30    79   140   110   105   157   108    39   127 
#> 20.62 17.42  5.33 21.83 17.43 16.23 12.68 17.56 19.75 15.10 18.29 15.59  3.53 
#>   100   194 136.1  91.1 127.1 194.1    69    32   150    78   169 136.2   154 
#> 16.07 22.40 21.83  5.33  3.53 22.40 23.23 20.90 20.33 23.88 22.41 21.83 12.63 
#> 194.2   175     5    42   166   117    14   192   125    43    66    37    25 
#> 22.40 21.91 16.43 12.43 19.98 17.46 12.89 16.44 15.65 12.10 22.13 12.52  6.32 
#>    63  43.1   171   106   107   153   190     8   159  39.1    40   179 125.1 
#> 22.77 12.10 16.57 16.67 11.18 21.33 20.81 18.43 10.55 15.59 18.00 18.63 15.65 
#>    52   113   183 190.1  45.1   101 157.1 190.2 194.3   164   8.1  14.1  37.1 
#> 10.42 22.86  9.24 20.81 17.42  9.97 15.10 20.81 22.40 23.60 18.43 12.89 12.52 
#> 175.1    55  30.1 101.1   168 171.1  68.1   187    60 159.1  91.2  60.1 194.4 
#> 21.91 19.34 17.43  9.97 23.72 16.57 20.62  9.92 13.15 10.55  5.33 13.15 22.40 
#> 164.1 168.1 164.2   188    10   155    51    24    88 117.1  69.1 179.1  39.2 
#> 23.60 23.72 23.60 16.16 10.53 13.08 18.23 23.89 18.37 17.46 23.23 18.63 15.59 
#>  24.1  88.1 175.2  10.1  42.1 169.1    18  14.2   8.2  25.1   119    83    11 
#> 23.89 18.37 21.91 10.53 12.43 22.41 15.21 12.89 18.43  6.32 24.00 24.00 24.00 
#>    20   174    71    48   132   142   137    80   121   191    65  11.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22   172     1   135    38   152   122  38.1 172.1    74   198 172.2   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31    21   160  48.1 121.1   103   178  21.1 160.1 135.1 174.1     2   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67   162 174.2   146    19     3 160.2   116   185 119.1  48.2 191.1 185.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156    27 122.1   143  20.1   102    82  74.1    84 162.1    94    17    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.1    35    62   148 146.1   2.1 132.1 182.1    46  94.1    87   118   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1    12 143.1   3.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[93]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003000843               0.123475052              -0.149260106 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.283042959             0.008869369            -0.548206571 
#>   grade_iii, Cure model 
#>             0.592627415 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 45    17.42      1  54        0         1
#> 16     8.71      1  71        0         1
#> 180   14.82      1  37        0         0
#> 99    21.19      1  38        0         1
#> 166   19.98      1  48        0         0
#> 13    14.34      1  54        0         1
#> 25     6.32      1  34        1         0
#> 188   16.16      1  46        0         1
#> 41    18.02      1  40        1         0
#> 159   10.55      1  50        0         1
#> 81    14.06      1  34        0         0
#> 86    23.81      1  58        0         1
#> 130   16.47      1  53        0         1
#> 14    12.89      1  21        0         0
#> 66    22.13      1  53        0         0
#> 170   19.54      1  43        0         1
#> 39    15.59      1  37        0         1
#> 68    20.62      1  44        0         0
#> 187    9.92      1  39        1         0
#> 113   22.86      1  34        0         0
#> 90    20.94      1  50        0         1
#> 92    22.92      1  47        0         1
#> 125   15.65      1  67        1         0
#> 90.1  20.94      1  50        0         1
#> 177   12.53      1  75        0         0
#> 113.1 22.86      1  34        0         0
#> 108   18.29      1  39        0         1
#> 16.1   8.71      1  71        0         1
#> 192   16.44      1  31        1         0
#> 43    12.10      1  61        0         1
#> 150   20.33      1  48        0         0
#> 79    16.23      1  54        1         0
#> 179   18.63      1  42        0         0
#> 97    19.14      1  65        0         1
#> 167   15.55      1  56        1         0
#> 97.1  19.14      1  65        0         1
#> 133   14.65      1  57        0         0
#> 117   17.46      1  26        0         1
#> 26    15.77      1  49        0         1
#> 128   20.35      1  35        0         1
#> 100   16.07      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 108.1 18.29      1  39        0         1
#> 93    10.33      1  52        0         1
#> 199   19.81      1  NA        0         1
#> 154   12.63      1  20        1         0
#> 30    17.43      1  78        0         0
#> 26.1  15.77      1  49        0         1
#> 183    9.24      1  67        1         0
#> 68.1  20.62      1  44        0         0
#> 26.2  15.77      1  49        0         1
#> 190   20.81      1  42        1         0
#> 85    16.44      1  36        0         0
#> 55    19.34      1  69        0         1
#> 184   17.77      1  38        0         0
#> 45.1  17.42      1  54        0         1
#> 127    3.53      1  62        0         1
#> 159.1 10.55      1  50        0         1
#> 128.1 20.35      1  35        0         1
#> 188.1 16.16      1  46        0         1
#> 177.1 12.53      1  75        0         0
#> 136   21.83      1  43        0         1
#> 117.1 17.46      1  26        0         1
#> 114.1 13.68      1  NA        0         0
#> 79.1  16.23      1  54        1         0
#> 166.1 19.98      1  48        0         0
#> 197   21.60      1  69        1         0
#> 177.2 12.53      1  75        0         0
#> 181   16.46      1  45        0         1
#> 155   13.08      1  26        0         0
#> 180.1 14.82      1  37        0         0
#> 51    18.23      1  83        0         1
#> 10    10.53      1  34        0         0
#> 125.1 15.65      1  67        1         0
#> 130.1 16.47      1  53        0         1
#> 183.1  9.24      1  67        1         0
#> 23    16.92      1  61        0         0
#> 130.2 16.47      1  53        0         1
#> 41.1  18.02      1  40        1         0
#> 166.2 19.98      1  48        0         0
#> 10.1  10.53      1  34        0         0
#> 113.2 22.86      1  34        0         0
#> 23.1  16.92      1  61        0         0
#> 89    11.44      1  NA        0         0
#> 179.1 18.63      1  42        0         0
#> 199.1 19.81      1  NA        0         1
#> 61    10.12      1  36        0         1
#> 55.1  19.34      1  69        0         1
#> 129   23.41      1  53        1         0
#> 139   21.49      1  63        1         0
#> 45.2  17.42      1  54        0         1
#> 85.1  16.44      1  36        0         0
#> 50    10.02      1  NA        1         0
#> 155.1 13.08      1  26        0         0
#> 23.2  16.92      1  61        0         0
#> 192.1 16.44      1  31        1         0
#> 86.1  23.81      1  58        0         1
#> 50.1  10.02      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 4     17.64      1  NA        0         1
#> 194   22.40      1  38        0         1
#> 183.2  9.24      1  67        1         0
#> 23.3  16.92      1  61        0         0
#> 128.2 20.35      1  35        0         1
#> 197.1 21.60      1  69        1         0
#> 70     7.38      1  30        1         0
#> 166.3 19.98      1  48        0         0
#> 164   23.60      1  76        0         1
#> 117.2 17.46      1  26        0         1
#> 30.1  17.43      1  78        0         0
#> 8     18.43      1  32        0         0
#> 153   21.33      1  55        1         0
#> 72    24.00      0  40        0         1
#> 176   24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 65    24.00      0  57        1         0
#> 12    24.00      0  63        0         0
#> 147   24.00      0  76        1         0
#> 94    24.00      0  51        0         1
#> 20    24.00      0  46        1         0
#> 46    24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 135   24.00      0  58        1         0
#> 38    24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 120   24.00      0  68        0         1
#> 138   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 21    24.00      0  47        0         0
#> 73    24.00      0  NA        0         1
#> 22    24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 142   24.00      0  53        0         0
#> 193   24.00      0  45        0         1
#> 46.1  24.00      0  71        0         0
#> 3     24.00      0  31        1         0
#> 21.1  24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 64    24.00      0  43        0         0
#> 9     24.00      0  31        1         0
#> 20.1  24.00      0  46        1         0
#> 75    24.00      0  21        1         0
#> 19    24.00      0  57        0         1
#> 20.2  24.00      0  46        1         0
#> 98    24.00      0  34        1         0
#> 75.1  24.00      0  21        1         0
#> 1     24.00      0  23        1         0
#> 62    24.00      0  71        0         0
#> 53.1  24.00      0  32        0         1
#> 11    24.00      0  42        0         1
#> 119   24.00      0  17        0         0
#> 34    24.00      0  36        0         0
#> 3.1   24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 109   24.00      0  48        0         0
#> 74    24.00      0  43        0         1
#> 147.1 24.00      0  76        1         0
#> 142.1 24.00      0  53        0         0
#> 38.1  24.00      0  31        1         0
#> 46.2  24.00      0  71        0         0
#> 102   24.00      0  49        0         0
#> 132.1 24.00      0  55        0         0
#> 141   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 2     24.00      0   9        0         0
#> 3.2   24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 22.1  24.00      0  52        1         0
#> 121.1 24.00      0  57        1         0
#> 144   24.00      0  28        0         1
#> 33    24.00      0  53        0         0
#> 27    24.00      0  63        1         0
#> 54    24.00      0  53        1         0
#> 182   24.00      0  35        0         0
#> 47    24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 112.1 24.00      0  61        0         0
#> 116   24.00      0  58        0         1
#> 185   24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 162   24.00      0  51        0         0
#> 147.2 24.00      0  76        1         0
#> 151   24.00      0  42        0         0
#> 152   24.00      0  36        0         1
#> 132.2 24.00      0  55        0         0
#> 198.1 24.00      0  66        0         1
#> 17    24.00      0  38        0         1
#> 20.3  24.00      0  46        1         0
#> 46.3  24.00      0  71        0         0
#> 46.4  24.00      0  71        0         0
#> 162.1 24.00      0  51        0         0
#> 137.1 24.00      0  45        1         0
#> 22.2  24.00      0  52        1         0
#> 74.1  24.00      0  43        0         1
#> 87    24.00      0  27        0         0
#> 73.1  24.00      0  NA        0         1
#> 48    24.00      0  31        1         0
#> 152.1 24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.283          NA        NA      NA
#> 2 age, Cure model          0.00887        NA        NA      NA
#> 3 grade_ii, Cure model    -0.548          NA        NA      NA
#> 4 grade_iii, Cure model    0.593          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00300        NA        NA      NA
#> 2 grade_ii, Survival model   0.123          NA        NA      NA
#> 3 grade_iii, Survival model -0.149          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.283043          0.008869         -0.548207          0.592627  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 251.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.283042959      0.008869369     -0.548206571      0.592627415 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003000843      0.123475052     -0.149260106 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.399231338 0.942983266 0.677693198 0.104366011 0.186853582 0.710150151
#>   [7] 0.977123747 0.571290754 0.322066595 0.830785033 0.721088052 0.002818743
#>  [13] 0.468611215 0.753834830 0.058189411 0.220248644 0.656035696 0.136891317
#>  [19] 0.898038359 0.032121244 0.112428897 0.024767363 0.634644702 0.112428897
#>  [25] 0.775796627 0.032121244 0.293522310 0.942983266 0.509722075 0.819639397
#>  [31] 0.178108531 0.550486671 0.265555491 0.247186292 0.666860613 0.247186292
#>  [37] 0.699257135 0.350824817 0.602909376 0.153295907 0.592285820 0.293522310
#>  [43] 0.875432668 0.764820891 0.379592291 0.602909376 0.909356628 0.136891317
#>  [49] 0.602909376 0.128556051 0.509722075 0.229206723 0.341127662 0.399231338
#>  [55] 0.988543021 0.830785033 0.153295907 0.571290754 0.775796627 0.065759293
#>  [61] 0.350824817 0.550486671 0.186853582 0.073547749 0.775796627 0.499241559
#>  [67] 0.732042072 0.677693198 0.312388880 0.853080504 0.634644702 0.468611215
#>  [73] 0.909356628 0.428903759 0.468611215 0.322066595 0.186853582 0.853080504
#>  [79] 0.032121244 0.428903759 0.265555491 0.886719171 0.229206723 0.017935175
#>  [85] 0.088550758 0.399231338 0.509722075 0.732042072 0.428903759 0.509722075
#>  [91] 0.002818743 0.808536451 0.050762738 0.909356628 0.428903759 0.153295907
#>  [97] 0.073547749 0.965701581 0.186853582 0.011223203 0.350824817 0.379592291
#> [103] 0.284076857 0.096445010 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    45    16   180    99   166    13    25   188    41   159    81    86   130 
#> 17.42  8.71 14.82 21.19 19.98 14.34  6.32 16.16 18.02 10.55 14.06 23.81 16.47 
#>    14    66   170    39    68   187   113    90    92   125  90.1   177 113.1 
#> 12.89 22.13 19.54 15.59 20.62  9.92 22.86 20.94 22.92 15.65 20.94 12.53 22.86 
#>   108  16.1   192    43   150    79   179    97   167  97.1   133   117    26 
#> 18.29  8.71 16.44 12.10 20.33 16.23 18.63 19.14 15.55 19.14 14.65 17.46 15.77 
#>   128   100 108.1    93   154    30  26.1   183  68.1  26.2   190    85    55 
#> 20.35 16.07 18.29 10.33 12.63 17.43 15.77  9.24 20.62 15.77 20.81 16.44 19.34 
#>   184  45.1   127 159.1 128.1 188.1 177.1   136 117.1  79.1 166.1   197 177.2 
#> 17.77 17.42  3.53 10.55 20.35 16.16 12.53 21.83 17.46 16.23 19.98 21.60 12.53 
#>   181   155 180.1    51    10 125.1 130.1 183.1    23 130.2  41.1 166.2  10.1 
#> 16.46 13.08 14.82 18.23 10.53 15.65 16.47  9.24 16.92 16.47 18.02 19.98 10.53 
#> 113.2  23.1 179.1    61  55.1   129   139  45.2  85.1 155.1  23.2 192.1  86.1 
#> 22.86 16.92 18.63 10.12 19.34 23.41 21.49 17.42 16.44 13.08 16.92 16.44 23.81 
#>    42   194 183.2  23.3 128.2 197.1    70 166.3   164 117.2  30.1     8   153 
#> 12.43 22.40  9.24 16.92 20.35 21.60  7.38 19.98 23.60 17.46 17.43 18.43 21.33 
#>    72   176   121    65    12   147    94    20    46   146   135    38    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120   138   132    21    22    53   142   193  46.1     3  21.1   112    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9  20.1    75    19  20.2    98  75.1     1    62  53.1    11   119    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1   137   109    74 147.1 142.1  38.1  46.2   102 132.1   141    31     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.2    84  22.1 121.1   144    33    27    54   182    47   143 143.1  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1   116   185   198   162 147.2   151   152 132.2 198.1    17  20.3  46.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.4 162.1 137.1  22.2  74.1    87    48 152.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[94]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0008711646              0.7792966226              0.6231789637 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.83383895              0.01265619              0.15506766 
#>   grade_iii, Cure model 
#>              1.02057739 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 66    22.13      1  53        0         0
#> 41    18.02      1  40        1         0
#> 128   20.35      1  35        0         1
#> 76    19.22      1  54        0         1
#> 101    9.97      1  10        0         1
#> 56    12.21      1  60        0         0
#> 194   22.40      1  38        0         1
#> 42    12.43      1  49        0         1
#> 111   17.45      1  47        0         1
#> 29    15.45      1  68        1         0
#> 15    22.68      1  48        0         0
#> 91     5.33      1  61        0         1
#> 30    17.43      1  78        0         0
#> 124    9.73      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 13    14.34      1  54        0         1
#> 96    14.54      1  33        0         1
#> 51    18.23      1  83        0         1
#> 134   17.81      1  47        1         0
#> 39    15.59      1  37        0         1
#> 140   12.68      1  59        1         0
#> 189   10.51      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 123   13.00      1  44        1         0
#> 23    16.92      1  61        0         0
#> 41.1  18.02      1  40        1         0
#> 99    21.19      1  38        0         1
#> 37    12.52      1  57        1         0
#> 18    15.21      1  49        1         0
#> 164   23.60      1  76        0         1
#> 189.1 10.51      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 117   17.46      1  26        0         1
#> 26    15.77      1  49        0         1
#> 58    19.34      1  39        0         0
#> 171.1 16.57      1  41        0         1
#> 187    9.92      1  39        1         0
#> 55    19.34      1  69        0         1
#> 184   17.77      1  38        0         0
#> 39.1  15.59      1  37        0         1
#> 96.1  14.54      1  33        0         1
#> 42.1  12.43      1  49        0         1
#> 59    10.16      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 60    13.15      1  38        1         0
#> 184.1 17.77      1  38        0         0
#> 99.1  21.19      1  38        0         1
#> 68    20.62      1  44        0         0
#> 26.1  15.77      1  49        0         1
#> 197   21.60      1  69        1         0
#> 91.1   5.33      1  61        0         1
#> 59.1  10.16      1  NA        1         0
#> 51.1  18.23      1  83        0         1
#> 81    14.06      1  34        0         0
#> 129   23.41      1  53        1         0
#> 113   22.86      1  34        0         0
#> 18.1  15.21      1  49        1         0
#> 41.2  18.02      1  40        1         0
#> 66.1  22.13      1  53        0         0
#> 114   13.68      1  NA        0         0
#> 40    18.00      1  28        1         0
#> 134.1 17.81      1  47        1         0
#> 107.1 11.18      1  54        1         0
#> 51.2  18.23      1  83        0         1
#> 88.1  18.37      1  47        0         0
#> 179   18.63      1  42        0         0
#> 69    23.23      1  25        0         1
#> 52    10.42      1  52        0         1
#> 170   19.54      1  43        0         1
#> 93    10.33      1  52        0         1
#> 127    3.53      1  62        0         1
#> 168   23.72      1  70        0         0
#> 41.3  18.02      1  40        1         0
#> 117.1 17.46      1  26        0         1
#> 16     8.71      1  71        0         1
#> 184.2 17.77      1  38        0         0
#> 45    17.42      1  54        0         1
#> 76.1  19.22      1  54        0         1
#> 194.1 22.40      1  38        0         1
#> 88.2  18.37      1  47        0         0
#> 52.1  10.42      1  52        0         1
#> 52.2  10.42      1  52        0         1
#> 76.2  19.22      1  54        0         1
#> 10    10.53      1  34        0         0
#> 26.2  15.77      1  49        0         1
#> 40.1  18.00      1  28        1         0
#> 89    11.44      1  NA        0         0
#> 6     15.64      1  39        0         0
#> 13.1  14.34      1  54        0         1
#> 78    23.88      1  43        0         0
#> 91.2   5.33      1  61        0         1
#> 14    12.89      1  21        0         0
#> 16.1   8.71      1  71        0         1
#> 158   20.14      1  74        1         0
#> 69.1  23.23      1  25        0         1
#> 24    23.89      1  38        0         0
#> 93.1  10.33      1  52        0         1
#> 110   17.56      1  65        0         1
#> 40.2  18.00      1  28        1         0
#> 114.1 13.68      1  NA        0         0
#> 128.1 20.35      1  35        0         1
#> 79    16.23      1  54        1         0
#> 49    12.19      1  48        1         0
#> 139   21.49      1  63        1         0
#> 149    8.37      1  33        1         0
#> 60.1  13.15      1  38        1         0
#> 149.1  8.37      1  33        1         0
#> 41.4  18.02      1  40        1         0
#> 169   22.41      1  46        0         0
#> 5     16.43      1  51        0         1
#> 167   15.55      1  56        1         0
#> 59.2  10.16      1  NA        1         0
#> 67    24.00      0  25        0         0
#> 186   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 142   24.00      0  53        0         0
#> 87    24.00      0  27        0         0
#> 165.1 24.00      0  47        0         0
#> 33    24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 65    24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 21    24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 156   24.00      0  50        1         0
#> 151   24.00      0  42        0         0
#> 27    24.00      0  63        1         0
#> 71    24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 141   24.00      0  44        1         0
#> 65.1  24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 82    24.00      0  34        0         0
#> 20.1  24.00      0  46        1         0
#> 35    24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 196   24.00      0  19        0         0
#> 191.1 24.00      0  60        0         1
#> 186.1 24.00      0  45        1         0
#> 176   24.00      0  43        0         1
#> 193   24.00      0  45        0         1
#> 174   24.00      0  49        1         0
#> 147   24.00      0  76        1         0
#> 27.1  24.00      0  63        1         0
#> 160.1 24.00      0  31        1         0
#> 182.1 24.00      0  35        0         0
#> 173   24.00      0  19        0         1
#> 53    24.00      0  32        0         1
#> 98    24.00      0  34        1         0
#> 135   24.00      0  58        1         0
#> 146   24.00      0  63        1         0
#> 53.1  24.00      0  32        0         1
#> 54.1  24.00      0  53        1         0
#> 118   24.00      0  44        1         0
#> 173.1 24.00      0  19        0         1
#> 174.1 24.00      0  49        1         0
#> 31    24.00      0  36        0         1
#> 173.2 24.00      0  19        0         1
#> 67.1  24.00      0  25        0         0
#> 148   24.00      0  61        1         0
#> 64    24.00      0  43        0         0
#> 28    24.00      0  67        1         0
#> 174.2 24.00      0  49        1         0
#> 178   24.00      0  52        1         0
#> 143   24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 65.2  24.00      0  57        1         0
#> 119   24.00      0  17        0         0
#> 67.2  24.00      0  25        0         0
#> 176.1 24.00      0  43        0         1
#> 46    24.00      0  71        0         0
#> 151.1 24.00      0  42        0         0
#> 83    24.00      0   6        0         0
#> 17    24.00      0  38        0         1
#> 20.2  24.00      0  46        1         0
#> 142.1 24.00      0  53        0         0
#> 31.1  24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 94.1  24.00      0  51        0         1
#> 17.1  24.00      0  38        0         1
#> 94.2  24.00      0  51        0         1
#> 198.1 24.00      0  66        0         1
#> 120   24.00      0  68        0         1
#> 83.1  24.00      0   6        0         0
#> 103   24.00      0  56        1         0
#> 1     24.00      0  23        1         0
#> 71.1  24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 104   24.00      0  50        1         0
#> 161   24.00      0  45        0         0
#> 131   24.00      0  66        0         0
#> 21.1  24.00      0  47        0         0
#> 73    24.00      0  NA        0         1
#> 83.2  24.00      0   6        0         0
#> 12    24.00      0  63        0         0
#> 64.1  24.00      0  43        0         0
#> 46.1  24.00      0  71        0         0
#> 17.2  24.00      0  38        0         1
#> 135.1 24.00      0  58        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.834         NA        NA      NA
#> 2 age, Cure model           0.0127        NA        NA      NA
#> 3 grade_ii, Cure model      0.155         NA        NA      NA
#> 4 grade_iii, Cure model     1.02          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000871        NA        NA      NA
#> 2 grade_ii, Survival model  0.779           NA        NA      NA
#> 3 grade_iii, Survival model 0.623           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.83384           0.01266           0.15507           1.02058  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 250.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.83383895       0.01265619       0.15506766       1.02057739 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0008711646     0.7792966226     0.6231789637 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.28740065 0.54789369 0.38259516 0.45010820 0.94575081 0.88822613
#>   [7] 0.25747738 0.87634302 0.67540610 0.78201598 0.22272944 0.97874160
#>  [13] 0.68292545 0.70530721 0.81448075 0.80167635 0.51978345 0.61361899
#>  [19] 0.76170128 0.85811216 0.49005901 0.84580393 0.69787526 0.54789369
#>  [25] 0.34511338 0.87030343 0.78868116 0.12348611 0.86420925 0.66029339
#>  [31] 0.73415543 0.42863714 0.70530721 0.95136170 0.42863714 0.62925393
#>  [37] 0.76170128 0.80167635 0.87634302 0.90009483 0.83342614 0.62925393
#>  [43] 0.34511338 0.36996842 0.73415543 0.31718035 0.97874160 0.51978345
#>  [49] 0.82709582 0.15007974 0.20527256 0.78868116 0.54789369 0.28740065
#>  [55] 0.58954198 0.61361899 0.90009483 0.51978345 0.49005901 0.47991744
#>  [61] 0.17176320 0.91748968 0.41747648 0.93450369 0.99468465 0.08975823
#>  [67] 0.54789369 0.66029339 0.95693136 0.62925393 0.69043898 0.45010820
#>  [73] 0.25747738 0.49005901 0.91748968 0.91748968 0.45010820 0.91167979
#>  [79] 0.73415543 0.58954198 0.75476883 0.81448075 0.05539306 0.97874160
#>  [85] 0.85195846 0.95693136 0.40602941 0.17176320 0.02105244 0.93450369
#>  [91] 0.65253113 0.58954198 0.38259516 0.72702783 0.89418555 0.33152978
#>  [97] 0.96791287 0.83342614 0.96791287 0.54789369 0.24012882 0.71980929
#> [103] 0.77527536 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    66    41   128    76   101    56   194    42   111    29    15    91    30 
#> 22.13 18.02 20.35 19.22  9.97 12.21 22.40 12.43 17.45 15.45 22.68  5.33 17.43 
#>   171    13    96    51   134    39   140    88   123    23  41.1    99    37 
#> 16.57 14.34 14.54 18.23 17.81 15.59 12.68 18.37 13.00 16.92 18.02 21.19 12.52 
#>    18   164   177   117    26    58 171.1   187    55   184  39.1  96.1  42.1 
#> 15.21 23.60 12.53 17.46 15.77 19.34 16.57  9.92 19.34 17.77 15.59 14.54 12.43 
#>   107    60 184.1  99.1    68  26.1   197  91.1  51.1    81   129   113  18.1 
#> 11.18 13.15 17.77 21.19 20.62 15.77 21.60  5.33 18.23 14.06 23.41 22.86 15.21 
#>  41.2  66.1    40 134.1 107.1  51.2  88.1   179    69    52   170    93   127 
#> 18.02 22.13 18.00 17.81 11.18 18.23 18.37 18.63 23.23 10.42 19.54 10.33  3.53 
#>   168  41.3 117.1    16 184.2    45  76.1 194.1  88.2  52.1  52.2  76.2    10 
#> 23.72 18.02 17.46  8.71 17.77 17.42 19.22 22.40 18.37 10.42 10.42 19.22 10.53 
#>  26.2  40.1     6  13.1    78  91.2    14  16.1   158  69.1    24  93.1   110 
#> 15.77 18.00 15.64 14.34 23.88  5.33 12.89  8.71 20.14 23.23 23.89 10.33 17.56 
#>  40.2 128.1    79    49   139   149  60.1 149.1  41.4   169     5   167    67 
#> 18.00 20.35 16.23 12.19 21.49  8.37 13.15  8.37 18.02 22.41 16.43 15.55 24.00 
#>   186   165   142    87 165.1    33   182    65   198    21    72   156   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    71   160   191   141  65.1    20    82  20.1    35    54   196 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.1   176   193   174   147  27.1 160.1 182.1   173    53    98   135   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1  54.1   118 173.1 174.1    31 173.2  67.1   148    64    28 174.2   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143    94  65.2   119  67.2 176.1    46 151.1    83    17  20.2 142.1  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75  94.1  17.1  94.2 198.1   120  83.1   103     1  71.1    62   104   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131  21.1  83.2    12  64.1  46.1  17.2 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[95]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00085246                0.42859816               -0.12871448 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.026033429            -0.009777403             0.401580261 
#>   grade_iii, Cure model 
#>             1.473006596 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 63    22.77      1  31        1         0
#> 49    12.19      1  48        1         0
#> 177   12.53      1  75        0         0
#> 8     18.43      1  32        0         0
#> 113   22.86      1  34        0         0
#> 18    15.21      1  49        1         0
#> 170   19.54      1  43        0         1
#> 114   13.68      1  NA        0         0
#> 171   16.57      1  41        0         1
#> 110   17.56      1  65        0         1
#> 164   23.60      1  76        0         1
#> 128   20.35      1  35        0         1
#> 179   18.63      1  42        0         0
#> 159   10.55      1  50        0         1
#> 41    18.02      1  40        1         0
#> 92    22.92      1  47        0         1
#> 175   21.91      1  43        0         0
#> 45    17.42      1  54        0         1
#> 42    12.43      1  49        0         1
#> 5     16.43      1  51        0         1
#> 184   17.77      1  38        0         0
#> 110.1 17.56      1  65        0         1
#> 57    14.46      1  45        0         1
#> 110.2 17.56      1  65        0         1
#> 52    10.42      1  52        0         1
#> 18.1  15.21      1  49        1         0
#> 76    19.22      1  54        0         1
#> 49.1  12.19      1  48        1         0
#> 105   19.75      1  60        0         0
#> 77     7.27      1  67        0         1
#> 130   16.47      1  53        0         1
#> 89    11.44      1  NA        0         0
#> 77.1   7.27      1  67        0         1
#> 153   21.33      1  55        1         0
#> 89.1  11.44      1  NA        0         0
#> 171.1 16.57      1  41        0         1
#> 68    20.62      1  44        0         0
#> 43    12.10      1  61        0         1
#> 164.1 23.60      1  76        0         1
#> 111   17.45      1  47        0         1
#> 187    9.92      1  39        1         0
#> 155   13.08      1  26        0         0
#> 123   13.00      1  44        1         0
#> 179.1 18.63      1  42        0         0
#> 139   21.49      1  63        1         0
#> 183    9.24      1  67        1         0
#> 136   21.83      1  43        0         1
#> 60    13.15      1  38        1         0
#> 85    16.44      1  36        0         0
#> 49.2  12.19      1  48        1         0
#> 157   15.10      1  47        0         0
#> 37    12.52      1  57        1         0
#> 129   23.41      1  53        1         0
#> 55    19.34      1  69        0         1
#> 177.1 12.53      1  75        0         0
#> 124    9.73      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 183.1  9.24      1  67        1         0
#> 92.1  22.92      1  47        0         1
#> 6     15.64      1  39        0         0
#> 188   16.16      1  46        0         1
#> 60.1  13.15      1  38        1         0
#> 36    21.19      1  48        0         1
#> 195   11.76      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 192   16.44      1  31        1         0
#> 39    15.59      1  37        0         1
#> 15    22.68      1  48        0         0
#> 49.3  12.19      1  48        1         0
#> 37.1  12.52      1  57        1         0
#> 5.1   16.43      1  51        0         1
#> 107   11.18      1  54        1         0
#> 90    20.94      1  50        0         1
#> 18.2  15.21      1  49        1         0
#> 124.1  9.73      1  NA        1         0
#> 117.1 17.46      1  26        0         1
#> 69.1  23.23      1  25        0         1
#> 61    10.12      1  36        0         1
#> 154   12.63      1  20        1         0
#> 36.1  21.19      1  48        0         1
#> 50    10.02      1  NA        1         0
#> 107.1 11.18      1  54        1         0
#> 86    23.81      1  58        0         1
#> 128.1 20.35      1  35        0         1
#> 55.1  19.34      1  69        0         1
#> 145   10.07      1  65        1         0
#> 159.1 10.55      1  50        0         1
#> 153.1 21.33      1  55        1         0
#> 183.2  9.24      1  67        1         0
#> 130.1 16.47      1  53        0         1
#> 70     7.38      1  30        1         0
#> 194   22.40      1  38        0         1
#> 88    18.37      1  47        0         0
#> 150   20.33      1  48        0         0
#> 117.2 17.46      1  26        0         1
#> 180   14.82      1  37        0         0
#> 39.1  15.59      1  37        0         1
#> 101    9.97      1  10        0         1
#> 56    12.21      1  60        0         0
#> 41.1  18.02      1  40        1         0
#> 117.3 17.46      1  26        0         1
#> 42.1  12.43      1  49        0         1
#> 106   16.67      1  49        1         0
#> 183.3  9.24      1  67        1         0
#> 188.1 16.16      1  46        0         1
#> 189   10.51      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 13    14.34      1  54        0         1
#> 105.1 19.75      1  60        0         0
#> 91     5.33      1  61        0         1
#> 88.1  18.37      1  47        0         0
#> 14    12.89      1  21        0         0
#> 109   24.00      0  48        0         0
#> 186   24.00      0  45        1         0
#> 38    24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 7     24.00      0  37        1         0
#> 186.1 24.00      0  45        1         0
#> 156   24.00      0  50        1         0
#> 46    24.00      0  71        0         0
#> 165   24.00      0  47        0         0
#> 141   24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 131   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 44    24.00      0  56        0         0
#> 98    24.00      0  34        1         0
#> 1     24.00      0  23        1         0
#> 176   24.00      0  43        0         1
#> 17    24.00      0  38        0         1
#> 119   24.00      0  17        0         0
#> 34    24.00      0  36        0         0
#> 198   24.00      0  66        0         1
#> 12    24.00      0  63        0         0
#> 112   24.00      0  61        0         0
#> 185   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 53    24.00      0  32        0         1
#> 72    24.00      0  40        0         1
#> 80    24.00      0  41        0         0
#> 121   24.00      0  57        1         0
#> 143   24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 11    24.00      0  42        0         1
#> 146   24.00      0  63        1         0
#> 62    24.00      0  71        0         0
#> 185.1 24.00      0  44        1         0
#> 1.1   24.00      0  23        1         0
#> 3     24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 146.1 24.00      0  63        1         0
#> 112.1 24.00      0  61        0         0
#> 161   24.00      0  45        0         0
#> 17.1  24.00      0  38        0         1
#> 46.1  24.00      0  71        0         0
#> 141.1 24.00      0  44        1         0
#> 131.1 24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 44.1  24.00      0  56        0         0
#> 165.1 24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 1.2   24.00      0  23        1         0
#> 75    24.00      0  21        1         0
#> 74    24.00      0  43        0         1
#> 120   24.00      0  68        0         1
#> 122.1 24.00      0  66        0         0
#> 109.1 24.00      0  48        0         0
#> 122.2 24.00      0  66        0         0
#> 3.1   24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 176.1 24.00      0  43        0         1
#> 33    24.00      0  53        0         0
#> 21.1  24.00      0  47        0         0
#> 176.2 24.00      0  43        0         1
#> 141.2 24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 121.1 24.00      0  57        1         0
#> 122.3 24.00      0  66        0         0
#> 200.1 24.00      0  64        0         0
#> 12.1  24.00      0  63        0         0
#> 132   24.00      0  55        0         0
#> 141.3 24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 21.2  24.00      0  47        0         0
#> 72.1  24.00      0  40        0         1
#> 19    24.00      0  57        0         1
#> 28    24.00      0  67        1         0
#> 94    24.00      0  51        0         1
#> 102   24.00      0  49        0         0
#> 120.1 24.00      0  68        0         1
#> 156.1 24.00      0  50        1         0
#> 2     24.00      0   9        0         0
#> 118   24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 178   24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 135.1 24.00      0  58        1         0
#> 73    24.00      0  NA        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0260         NA        NA      NA
#> 2 age, Cure model         -0.00978        NA        NA      NA
#> 3 grade_ii, Cure model     0.402          NA        NA      NA
#> 4 grade_iii, Cure model    1.47           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000852        NA        NA      NA
#> 2 grade_ii, Survival model   0.429           NA        NA      NA
#> 3 grade_iii, Survival model -0.129           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.026033         -0.009777          0.401580          1.473007  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 244 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.026033429     -0.009777403      0.401580261      1.473006596 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00085246       0.42859816      -0.12871448 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.094184427 0.800111751 0.734021700 0.326854752 0.083535415 0.608521647
#>   [7] 0.268648714 0.480909352 0.384807606 0.015537650 0.221313498 0.307439439
#>  [13] 0.864145504 0.356203124 0.063665464 0.124658635 0.461216497 0.771783923
#>  [19] 0.539528166 0.375185407 0.384807606 0.656825749 0.384807606 0.882490486
#>  [25] 0.608521647 0.297595907 0.800111751 0.249727688 0.973082145 0.500424326
#>  [31] 0.973082145 0.155451663 0.480909352 0.211823772 0.836575737 0.015537650
#>  [37] 0.451355404 0.919403266 0.695601707 0.705268915 0.307439439 0.145365666
#>  [43] 0.928577971 0.134951452 0.676407452 0.520061614 0.800111751 0.637316381
#>  [49] 0.753012221 0.034747648 0.278334913 0.734021700 0.044751860 0.928577971
#>  [55] 0.063665464 0.578791496 0.559106523 0.676407452 0.173897099 0.413309836
#>  [61] 0.520061614 0.588724699 0.104270598 0.800111751 0.753012221 0.539528166
#>  [67] 0.845861652 0.192654572 0.608521647 0.413309836 0.044751860 0.891726483
#>  [73] 0.724479620 0.173897099 0.845861652 0.004703246 0.221313498 0.278334913
#>  [79] 0.900976597 0.864145504 0.155451663 0.928577971 0.500424326 0.964114182
#>  [85] 0.114396778 0.336719043 0.240118218 0.413309836 0.647068781 0.588724699
#>  [91] 0.910183952 0.790627482 0.356203124 0.413309836 0.771783923 0.471111516
#>  [97] 0.928577971 0.559106523 0.202349741 0.666605072 0.249727688 0.990991151
#> [103] 0.336719043 0.714873122 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    63    49   177     8   113    18   170   171   110   164   128   179   159 
#> 22.77 12.19 12.53 18.43 22.86 15.21 19.54 16.57 17.56 23.60 20.35 18.63 10.55 
#>    41    92   175    45    42     5   184 110.1    57 110.2    52  18.1    76 
#> 18.02 22.92 21.91 17.42 12.43 16.43 17.77 17.56 14.46 17.56 10.42 15.21 19.22 
#>  49.1   105    77   130  77.1   153 171.1    68    43 164.1   111   187   155 
#> 12.19 19.75  7.27 16.47  7.27 21.33 16.57 20.62 12.10 23.60 17.45  9.92 13.08 
#>   123 179.1   139   183   136    60    85  49.2   157    37   129    55 177.1 
#> 13.00 18.63 21.49  9.24 21.83 13.15 16.44 12.19 15.10 12.52 23.41 19.34 12.53 
#>    69 183.1  92.1     6   188  60.1    36   117   192    39    15  49.3  37.1 
#> 23.23  9.24 22.92 15.64 16.16 13.15 21.19 17.46 16.44 15.59 22.68 12.19 12.52 
#>   5.1   107    90  18.2 117.1  69.1    61   154  36.1 107.1    86 128.1  55.1 
#> 16.43 11.18 20.94 15.21 17.46 23.23 10.12 12.63 21.19 11.18 23.81 20.35 19.34 
#>   145 159.1 153.1 183.2 130.1    70   194    88   150 117.2   180  39.1   101 
#> 10.07 10.55 21.33  9.24 16.47  7.38 22.40 18.37 20.33 17.46 14.82 15.59  9.97 
#>    56  41.1 117.3  42.1   106 183.3 188.1    32    13 105.1    91  88.1    14 
#> 12.21 18.02 17.46 12.43 16.67  9.24 16.16 20.90 14.34 19.75  5.33 18.37 12.89 
#>   109   186    38     7 186.1   156    46   165   141   116   131    21    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98     1   176    17   119    34   198    12   112   185   191    53    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   121   143    95    11   146    62 185.1   1.1     3   182 146.1 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161  17.1  46.1 141.1 131.1    48   147  44.1 165.1   122   1.2    75    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120 122.1 109.1 122.2   3.1   135 176.1    33  21.1 176.2 141.2   200 121.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.3 200.1  12.1   132 141.3   138  21.2  72.1    19    28    94   102 120.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.1     2   118   103   178    71    65 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[96]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001216538               0.299552360               0.294069426 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.49742912              0.02072803              0.63921289 
#>   grade_iii, Cure model 
#>              1.44412349 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 76    19.22      1  54        0         1
#> 129   23.41      1  53        1         0
#> 127    3.53      1  62        0         1
#> 106   16.67      1  49        1         0
#> 169   22.41      1  46        0         0
#> 39    15.59      1  37        0         1
#> 43    12.10      1  61        0         1
#> 108   18.29      1  39        0         1
#> 125   15.65      1  67        1         0
#> 110   17.56      1  65        0         1
#> 133   14.65      1  57        0         0
#> 100   16.07      1  60        0         0
#> 77     7.27      1  67        0         1
#> 30    17.43      1  78        0         0
#> 127.1  3.53      1  62        0         1
#> 136   21.83      1  43        0         1
#> 105   19.75      1  60        0         0
#> 16     8.71      1  71        0         1
#> 117   17.46      1  26        0         1
#> 93    10.33      1  52        0         1
#> 60    13.15      1  38        1         0
#> 13    14.34      1  54        0         1
#> 58    19.34      1  39        0         0
#> 128   20.35      1  35        0         1
#> 111   17.45      1  47        0         1
#> 190   20.81      1  42        1         0
#> 50    10.02      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 169.1 22.41      1  46        0         0
#> 29    15.45      1  68        1         0
#> 10    10.53      1  34        0         0
#> 91     5.33      1  61        0         1
#> 76.1  19.22      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 37.1  12.52      1  57        1         0
#> 55    19.34      1  69        0         1
#> 16.1   8.71      1  71        0         1
#> 30.1  17.43      1  78        0         0
#> 136.1 21.83      1  43        0         1
#> 10.1  10.53      1  34        0         0
#> 187    9.92      1  39        1         0
#> 16.2   8.71      1  71        0         1
#> 26    15.77      1  49        0         1
#> 188   16.16      1  46        0         1
#> 154   12.63      1  20        1         0
#> 158   20.14      1  74        1         0
#> 159   10.55      1  50        0         1
#> 155   13.08      1  26        0         0
#> 107   11.18      1  54        1         0
#> 179   18.63      1  42        0         0
#> 166   19.98      1  48        0         0
#> 136.2 21.83      1  43        0         1
#> 158.1 20.14      1  74        1         0
#> 117.1 17.46      1  26        0         1
#> 166.1 19.98      1  48        0         0
#> 78    23.88      1  43        0         0
#> 41    18.02      1  40        1         0
#> 51    18.23      1  83        0         1
#> 195   11.76      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 189.1 10.51      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 125.1 15.65      1  67        1         0
#> 171   16.57      1  41        0         1
#> 77.1   7.27      1  67        0         1
#> 69    23.23      1  25        0         1
#> 140   12.68      1  59        1         0
#> 124    9.73      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 197   21.60      1  69        1         0
#> 157   15.10      1  47        0         0
#> 110.1 17.56      1  65        0         1
#> 166.2 19.98      1  48        0         0
#> 14    12.89      1  21        0         0
#> 170   19.54      1  43        0         1
#> 10.2  10.53      1  34        0         0
#> 123   13.00      1  44        1         0
#> 105.1 19.75      1  60        0         0
#> 153   21.33      1  55        1         0
#> 133.1 14.65      1  57        0         0
#> 13.1  14.34      1  54        0         1
#> 41.1  18.02      1  40        1         0
#> 180   14.82      1  37        0         0
#> 181   16.46      1  45        0         1
#> 100.1 16.07      1  60        0         0
#> 159.1 10.55      1  50        0         1
#> 197.1 21.60      1  69        1         0
#> 158.2 20.14      1  74        1         0
#> 108.1 18.29      1  39        0         1
#> 93.1  10.33      1  52        0         1
#> 183    9.24      1  67        1         0
#> 88    18.37      1  47        0         0
#> 86    23.81      1  58        0         1
#> 199   19.81      1  NA        0         1
#> 139   21.49      1  63        1         0
#> 124.1  9.73      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 18    15.21      1  49        1         0
#> 13.2  14.34      1  54        0         1
#> 55.1  19.34      1  69        0         1
#> 192.1 16.44      1  31        1         0
#> 100.2 16.07      1  60        0         0
#> 43.1  12.10      1  61        0         1
#> 70     7.38      1  30        1         0
#> 92    22.92      1  47        0         1
#> 194   22.40      1  38        0         1
#> 37.2  12.52      1  57        1         0
#> 41.2  18.02      1  40        1         0
#> 134   17.81      1  47        1         0
#> 159.2 10.55      1  50        0         1
#> 124.2  9.73      1  NA        1         0
#> 134.1 17.81      1  47        1         0
#> 152   24.00      0  36        0         1
#> 83    24.00      0   6        0         0
#> 33    24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 173   24.00      0  19        0         1
#> 132   24.00      0  55        0         0
#> 35    24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 95    24.00      0  68        0         1
#> 118   24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 11    24.00      0  42        0         1
#> 178   24.00      0  52        1         0
#> 28    24.00      0  67        1         0
#> 172   24.00      0  41        0         0
#> 46    24.00      0  71        0         0
#> 121   24.00      0  57        1         0
#> 19    24.00      0  57        0         1
#> 142   24.00      0  53        0         0
#> 132.1 24.00      0  55        0         0
#> 80    24.00      0  41        0         0
#> 22    24.00      0  52        1         0
#> 119   24.00      0  17        0         0
#> 21    24.00      0  47        0         0
#> 46.1  24.00      0  71        0         0
#> 62    24.00      0  71        0         0
#> 47.1  24.00      0  38        0         1
#> 104   24.00      0  50        1         0
#> 53    24.00      0  32        0         1
#> 131   24.00      0  66        0         0
#> 17    24.00      0  38        0         1
#> 132.2 24.00      0  55        0         0
#> 196   24.00      0  19        0         0
#> 54    24.00      0  53        1         0
#> 116   24.00      0  58        0         1
#> 54.1  24.00      0  53        1         0
#> 172.1 24.00      0  41        0         0
#> 44    24.00      0  56        0         0
#> 44.1  24.00      0  56        0         0
#> 116.1 24.00      0  58        0         1
#> 71    24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 116.2 24.00      0  58        0         1
#> 143   24.00      0  51        0         0
#> 178.1 24.00      0  52        1         0
#> 191   24.00      0  60        0         1
#> 161   24.00      0  45        0         0
#> 67    24.00      0  25        0         0
#> 148   24.00      0  61        1         0
#> 148.1 24.00      0  61        1         0
#> 75    24.00      0  21        1         0
#> 75.1  24.00      0  21        1         0
#> 152.1 24.00      0  36        0         1
#> 172.2 24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 151   24.00      0  42        0         0
#> 196.1 24.00      0  19        0         0
#> 182.1 24.00      0  35        0         0
#> 135   24.00      0  58        1         0
#> 156   24.00      0  50        1         0
#> 27    24.00      0  63        1         0
#> 64.1  24.00      0  43        0         0
#> 196.2 24.00      0  19        0         0
#> 22.1  24.00      0  52        1         0
#> 147   24.00      0  76        1         0
#> 64.2  24.00      0  43        0         0
#> 44.2  24.00      0  56        0         0
#> 87    24.00      0  27        0         0
#> 9     24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 62.1  24.00      0  71        0         0
#> 27.1  24.00      0  63        1         0
#> 162   24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 121.1 24.00      0  57        1         0
#> 82    24.00      0  34        0         0
#> 64.3  24.00      0  43        0         0
#> 119.1 24.00      0  17        0         0
#> 27.2  24.00      0  63        1         0
#> 7     24.00      0  37        1         0
#> 116.3 24.00      0  58        0         1
#> 132.3 24.00      0  55        0         0
#> 174   24.00      0  49        1         0
#> 138   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 80.1  24.00      0  41        0         0
#> 47.2  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.50          NA        NA      NA
#> 2 age, Cure model           0.0207        NA        NA      NA
#> 3 grade_ii, Cure model      0.639         NA        NA      NA
#> 4 grade_iii, Cure model     1.44          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00122        NA        NA      NA
#> 2 grade_ii, Survival model   0.300          NA        NA      NA
#> 3 grade_iii, Survival model  0.294          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.49743           0.02073           0.63921           1.44412  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 244.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.49742912       0.02072803       0.63921289       1.44412349 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001216538      0.299552360      0.294069426 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.39822508 0.07907672 0.98575406 0.57179640 0.12818372 0.67237851
#>   [7] 0.83077374 0.43702427 0.65600431 0.51055413 0.71304099 0.62284723
#>  [13] 0.96417341 0.55448683 0.98575406 0.17119219 0.33825274 0.93519650
#>  [19] 0.52825781 0.89824377 0.75277544 0.72912292 0.36901810 0.26606077
#>  [25] 0.54573605 0.25466432 0.80011830 0.12818372 0.68057554 0.87591849
#>  [31] 0.97855851 0.39822508 0.80011830 0.36901810 0.93519650 0.55448683
#>  [37] 0.17119219 0.87591849 0.91308359 0.93519650 0.64766837 0.61443543
#>  [43] 0.79228926 0.27726523 0.85356919 0.76070897 0.84596791 0.41752894
#>  [49] 0.30784849 0.17119219 0.27726523 0.52825781 0.30784849 0.01550624
#>  [55] 0.46541691 0.45594996 0.82307864 0.91308359 0.65600431 0.58046060
#>  [61] 0.96417341 0.09650114 0.78443052 0.59763123 0.20752273 0.69683670
#>  [67] 0.51055413 0.30784849 0.77653622 0.35874469 0.87591849 0.76863985
#>  [73] 0.33825274 0.24304970 0.71304099 0.72912292 0.46541691 0.70494099
#>  [79] 0.58907203 0.62284723 0.85356919 0.20752273 0.27726523 0.43702427
#>  [85] 0.89824377 0.92782404 0.42728314 0.04005590 0.23118426 0.05981697
#>  [91] 0.68872686 0.72912292 0.36901810 0.59763123 0.62284723 0.83077374
#>  [97] 0.95690421 0.11280749 0.15675006 0.80011830 0.46541691 0.49256846
#> [103] 0.85356919 0.49256846 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    76   129   127   106   169    39    43   108   125   110   133   100    77 
#> 19.22 23.41  3.53 16.67 22.41 15.59 12.10 18.29 15.65 17.56 14.65 16.07  7.27 
#>    30 127.1   136   105    16   117    93    60    13    58   128   111   190 
#> 17.43  3.53 21.83 19.75  8.71 17.46 10.33 13.15 14.34 19.34 20.35 17.45 20.81 
#>    37 169.1    29    10    91  76.1  37.1    55  16.1  30.1 136.1  10.1   187 
#> 12.52 22.41 15.45 10.53  5.33 19.22 12.52 19.34  8.71 17.43 21.83 10.53  9.92 
#>  16.2    26   188   154   158   159   155   107   179   166 136.2 158.1 117.1 
#>  8.71 15.77 16.16 12.63 20.14 10.55 13.08 11.18 18.63 19.98 21.83 20.14 17.46 
#> 166.1    78    41    51    42 187.1 125.1   171  77.1    69   140   192   197 
#> 19.98 23.88 18.02 18.23 12.43  9.92 15.65 16.57  7.27 23.23 12.68 16.44 21.60 
#>   157 110.1 166.2    14   170  10.2   123 105.1   153 133.1  13.1  41.1   180 
#> 15.10 17.56 19.98 12.89 19.54 10.53 13.00 19.75 21.33 14.65 14.34 18.02 14.82 
#>   181 100.1 159.1 197.1 158.2 108.1  93.1   183    88    86   139   168    18 
#> 16.46 16.07 10.55 21.60 20.14 18.29 10.33  9.24 18.37 23.81 21.49 23.72 15.21 
#>  13.2  55.1 192.1 100.2  43.1    70    92   194  37.2  41.2   134 159.2 134.1 
#> 14.34 19.34 16.44 16.07 12.10  7.38 22.92 22.40 12.52 18.02 17.81 10.55 17.81 
#>   152    83    33   182   173   132    35   112    95   118   185    47    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    28   172    46   121    19   142 132.1    80    22   119    21  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62  47.1   104    53   131    17 132.2   196    54   116  54.1 172.1    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.1 116.1    71    98 116.2   143 178.1   191   161    67   148 148.1    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1 152.1 172.2    64   151 196.1 182.1   135   156    27  64.1 196.2  22.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147  64.2  44.2    87     9    34  62.1  27.1   162    72 121.1    82  64.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1  27.2     7 116.3 132.3   174   138   165  80.1  47.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[97]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005727053               0.756358623               0.566553275 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.97869952              0.02351341             -0.33936728 
#>   grade_iii, Cure model 
#>              0.66172167 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 52    10.42      1  52        0         1
#> 49    12.19      1  48        1         0
#> 130   16.47      1  53        0         1
#> 55    19.34      1  69        0         1
#> 61    10.12      1  36        0         1
#> 108   18.29      1  39        0         1
#> 50    10.02      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 76    19.22      1  54        0         1
#> 157   15.10      1  47        0         0
#> 181   16.46      1  45        0         1
#> 125   15.65      1  67        1         0
#> 175   21.91      1  43        0         0
#> 59    10.16      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 179   18.63      1  42        0         0
#> 199   19.81      1  NA        0         1
#> 180   14.82      1  37        0         0
#> 159   10.55      1  50        0         1
#> 39    15.59      1  37        0         1
#> 166   19.98      1  48        0         0
#> 188   16.16      1  46        0         1
#> 139   21.49      1  63        1         0
#> 23    16.92      1  61        0         0
#> 36    21.19      1  48        0         1
#> 153   21.33      1  55        1         0
#> 166.1 19.98      1  48        0         0
#> 183    9.24      1  67        1         0
#> 136   21.83      1  43        0         1
#> 18    15.21      1  49        1         0
#> 96    14.54      1  33        0         1
#> 15    22.68      1  48        0         0
#> 159.1 10.55      1  50        0         1
#> 168   23.72      1  70        0         0
#> 93    10.33      1  52        0         1
#> 123   13.00      1  44        1         0
#> 113   22.86      1  34        0         0
#> 150.1 20.33      1  48        0         0
#> 77     7.27      1  67        0         1
#> 187    9.92      1  39        1         0
#> 177   12.53      1  75        0         0
#> 91     5.33      1  61        0         1
#> 158   20.14      1  74        1         0
#> 29    15.45      1  68        1         0
#> 127    3.53      1  62        0         1
#> 42    12.43      1  49        0         1
#> 25     6.32      1  34        1         0
#> 91.1   5.33      1  61        0         1
#> 157.1 15.10      1  47        0         0
#> 25.1   6.32      1  34        1         0
#> 124    9.73      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 167   15.55      1  56        1         0
#> 140   12.68      1  59        1         0
#> 123.1 13.00      1  44        1         0
#> 134   17.81      1  47        1         0
#> 68    20.62      1  44        0         0
#> 16     8.71      1  71        0         1
#> 18.1  15.21      1  49        1         0
#> 180.1 14.82      1  37        0         0
#> 78    23.88      1  43        0         0
#> 110   17.56      1  65        0         1
#> 97    19.14      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 18.2  15.21      1  49        1         0
#> 79    16.23      1  54        1         0
#> 145   10.07      1  65        1         0
#> 58    19.34      1  39        0         0
#> 69    23.23      1  25        0         1
#> 24    23.89      1  38        0         0
#> 108.1 18.29      1  39        0         1
#> 63    22.77      1  31        1         0
#> 59.1  10.16      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 51    18.23      1  83        0         1
#> 30    17.43      1  78        0         0
#> 6     15.64      1  39        0         0
#> 25.2   6.32      1  34        1         0
#> 124.1  9.73      1  NA        1         0
#> 15.1  22.68      1  48        0         0
#> 37    12.52      1  57        1         0
#> 6.1   15.64      1  39        0         0
#> 42.1  12.43      1  49        0         1
#> 159.2 10.55      1  50        0         1
#> 190   20.81      1  42        1         0
#> 10    10.53      1  34        0         0
#> 181.1 16.46      1  45        0         1
#> 99    21.19      1  38        0         1
#> 59.2  10.16      1  NA        1         0
#> 37.1  12.52      1  57        1         0
#> 92    22.92      1  47        0         1
#> 26    15.77      1  49        0         1
#> 123.2 13.00      1  44        1         0
#> 179.1 18.63      1  42        0         0
#> 61.1  10.12      1  36        0         1
#> 194   22.40      1  38        0         1
#> 180.2 14.82      1  37        0         0
#> 13    14.34      1  54        0         1
#> 184   17.77      1  38        0         0
#> 93.1  10.33      1  52        0         1
#> 139.1 21.49      1  63        1         0
#> 99.1  21.19      1  38        0         1
#> 26.1  15.77      1  49        0         1
#> 139.2 21.49      1  63        1         0
#> 133   14.65      1  57        0         0
#> 51.1  18.23      1  83        0         1
#> 15.2  22.68      1  48        0         0
#> 52.1  10.42      1  52        0         1
#> 177.1 12.53      1  75        0         0
#> 70     7.38      1  30        1         0
#> 136.1 21.83      1  43        0         1
#> 187.1  9.92      1  39        1         0
#> 148   24.00      0  61        1         0
#> 73    24.00      0  NA        0         1
#> 53    24.00      0  32        0         1
#> 27    24.00      0  63        1         0
#> 83    24.00      0   6        0         0
#> 44    24.00      0  56        0         0
#> 196   24.00      0  19        0         0
#> 146   24.00      0  63        1         0
#> 87    24.00      0  27        0         0
#> 35    24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 87.1  24.00      0  27        0         0
#> 116   24.00      0  58        0         1
#> 148.1 24.00      0  61        1         0
#> 200   24.00      0  64        0         0
#> 116.1 24.00      0  58        0         1
#> 160.1 24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 28    24.00      0  67        1         0
#> 176   24.00      0  43        0         1
#> 135   24.00      0  58        1         0
#> 34    24.00      0  36        0         0
#> 174   24.00      0  49        1         0
#> 22    24.00      0  52        1         0
#> 74    24.00      0  43        0         1
#> 67    24.00      0  25        0         0
#> 1     24.00      0  23        1         0
#> 137   24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 95    24.00      0  68        0         1
#> 200.1 24.00      0  64        0         0
#> 176.1 24.00      0  43        0         1
#> 44.1  24.00      0  56        0         0
#> 173   24.00      0  19        0         1
#> 75    24.00      0  21        1         0
#> 143   24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 152   24.00      0  36        0         1
#> 174.1 24.00      0  49        1         0
#> 126   24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 200.2 24.00      0  64        0         0
#> 1.1   24.00      0  23        1         0
#> 35.1  24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 3     24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 160.2 24.00      0  31        1         0
#> 120.1 24.00      0  68        0         1
#> 151   24.00      0  42        0         0
#> 12    24.00      0  63        0         0
#> 185.1 24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 84    24.00      0  39        0         1
#> 82    24.00      0  34        0         0
#> 178   24.00      0  52        1         0
#> 135.1 24.00      0  58        1         0
#> 152.1 24.00      0  36        0         1
#> 172   24.00      0  41        0         0
#> 74.1  24.00      0  43        0         1
#> 178.1 24.00      0  52        1         0
#> 174.2 24.00      0  49        1         0
#> 1.2   24.00      0  23        1         0
#> 65    24.00      0  57        1         0
#> 48    24.00      0  31        1         0
#> 1.3   24.00      0  23        1         0
#> 178.2 24.00      0  52        1         0
#> 95.1  24.00      0  68        0         1
#> 83.1  24.00      0   6        0         0
#> 126.1 24.00      0  48        0         0
#> 27.1  24.00      0  63        1         0
#> 109   24.00      0  48        0         0
#> 28.1  24.00      0  67        1         0
#> 75.1  24.00      0  21        1         0
#> 172.1 24.00      0  41        0         0
#> 178.3 24.00      0  52        1         0
#> 119.1 24.00      0  17        0         0
#> 87.2  24.00      0  27        0         0
#> 1.4   24.00      0  23        1         0
#> 119.2 24.00      0  17        0         0
#> 38    24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 121   24.00      0  57        1         0
#> 104   24.00      0  50        1         0
#> 104.1 24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.979         NA        NA      NA
#> 2 age, Cure model           0.0235        NA        NA      NA
#> 3 grade_ii, Cure model     -0.339         NA        NA      NA
#> 4 grade_iii, Cure model     0.662         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00573        NA        NA      NA
#> 2 grade_ii, Survival model   0.756          NA        NA      NA
#> 3 grade_iii, Survival model  0.567          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.97870           0.02351          -0.33937           0.66172  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 250.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.97869952       0.02351341      -0.33936728       0.66172167 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005727053      0.756358623      0.566553275 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.91254028 0.88753595 0.66429065 0.53327781 0.93200855 0.59460115
#>   [7] 0.68576459 0.55159717 0.78220072 0.67160609 0.72644456 0.33621687
#>  [13] 0.48468602 0.57767973 0.79392166 0.89264727 0.74576662 0.51435184
#>  [19] 0.70652518 0.38457394 0.65686173 0.43274369 0.42093058 0.51435184
#>  [25] 0.95558641 0.35387706 0.76460420 0.81718170 0.26407230 0.89264727
#>  [31] 0.12840083 0.92234496 0.82870074 0.21902607 0.48468602 0.96931242
#>  [37] 0.94629266 0.85605593 0.98699199 0.50468664 0.75843251 0.99567672
#>  [43] 0.87723600 0.97382025 0.98699199 0.78220072 0.97382025 0.85064441
#>  [49] 0.75215118 0.84518465 0.82870074 0.62655757 0.47444531 0.96019683
#>  [55] 0.76460420 0.79392166 0.08637540 0.64188466 0.56062248 0.56062248
#>  [61] 0.76460420 0.69966858 0.94155675 0.53327781 0.16471071 0.03863962
#>  [67] 0.59460115 0.24315022 0.68576459 0.61096242 0.64939751 0.73292320
#>  [73] 0.97382025 0.26407230 0.86677229 0.73292320 0.87723600 0.89264727
#>  [79] 0.46414088 0.90755087 0.67160609 0.43274369 0.86677229 0.19432040
#>  [85] 0.71329680 0.82870074 0.57767973 0.93200855 0.31829409 0.79392166
#>  [91] 0.82296945 0.63423237 0.92234496 0.38457394 0.43274369 0.71329680
#>  [97] 0.38457394 0.81134731 0.61096242 0.26407230 0.91254028 0.85605593
#> [103] 0.96477110 0.35387706 0.94629266 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    52    49   130    55    61   108   192    76   157   181   125   175   150 
#> 10.42 12.19 16.47 19.34 10.12 18.29 16.44 19.22 15.10 16.46 15.65 21.91 20.33 
#>   179   180   159    39   166   188   139    23    36   153 166.1   183   136 
#> 18.63 14.82 10.55 15.59 19.98 16.16 21.49 16.92 21.19 21.33 19.98  9.24 21.83 
#>    18    96    15 159.1   168    93   123   113 150.1    77   187   177    91 
#> 15.21 14.54 22.68 10.55 23.72 10.33 13.00 22.86 20.33  7.27  9.92 12.53  5.33 
#>   158    29   127    42    25  91.1 157.1  25.1   154   167   140 123.1   134 
#> 20.14 15.45  3.53 12.43  6.32  5.33 15.10  6.32 12.63 15.55 12.68 13.00 17.81 
#>    68    16  18.1 180.1    78   110    97  97.1  18.2    79   145    58    69 
#> 20.62  8.71 15.21 14.82 23.88 17.56 19.14 19.14 15.21 16.23 10.07 19.34 23.23 
#>    24 108.1    63    85    51    30     6  25.2  15.1    37   6.1  42.1 159.2 
#> 23.89 18.29 22.77 16.44 18.23 17.43 15.64  6.32 22.68 12.52 15.64 12.43 10.55 
#>   190    10 181.1    99  37.1    92    26 123.2 179.1  61.1   194 180.2    13 
#> 20.81 10.53 16.46 21.19 12.52 22.92 15.77 13.00 18.63 10.12 22.40 14.82 14.34 
#>   184  93.1 139.1  99.1  26.1 139.2   133  51.1  15.2  52.1 177.1    70 136.1 
#> 17.77 10.33 21.49 21.19 15.77 21.49 14.65 18.23 22.68 10.42 12.53  7.38 21.83 
#> 187.1   148    53    27    83    44   196   146    87    35   185   160    80 
#>  9.92 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1   116 148.1   200 116.1 160.1   119    28   176   135    34   174    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74    67     1   137    47    95 200.1 176.1  44.1   173    75   143    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152 174.1   126   147 200.2   1.1  35.1   112     3   120 160.2 120.1   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12 185.1   191    84    82   178 135.1 152.1   172  74.1 178.1 174.2   1.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65    48   1.3 178.2  95.1  83.1 126.1  27.1   109  28.1  75.1 172.1 178.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1  87.2   1.4 119.2    38     2   121   104 104.1    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[98]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006447627               0.546054753               0.232304235 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.370460394             0.004790441             0.387019990 
#>   grade_iii, Cure model 
#>             0.699596122 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 8     18.43      1  32        0         0
#> 189   10.51      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 32    20.90      1  37        1         0
#> 15    22.68      1  48        0         0
#> 150   20.33      1  48        0         0
#> 108   18.29      1  39        0         1
#> 106   16.67      1  49        1         0
#> 89    11.44      1  NA        0         0
#> 130   16.47      1  53        0         1
#> 25     6.32      1  34        1         0
#> 154   12.63      1  20        1         0
#> 181   16.46      1  45        0         1
#> 188   16.16      1  46        0         1
#> 52    10.42      1  52        0         1
#> 85    16.44      1  36        0         0
#> 63    22.77      1  31        1         0
#> 164   23.60      1  76        0         1
#> 149    8.37      1  33        1         0
#> 183    9.24      1  67        1         0
#> 97    19.14      1  65        0         1
#> 187    9.92      1  39        1         0
#> 90    20.94      1  50        0         1
#> 99    21.19      1  38        0         1
#> 10    10.53      1  34        0         0
#> 16     8.71      1  71        0         1
#> 50    10.02      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 114   13.68      1  NA        0         0
#> 26    15.77      1  49        0         1
#> 190   20.81      1  42        1         0
#> 23    16.92      1  61        0         0
#> 93    10.33      1  52        0         1
#> 77     7.27      1  67        0         1
#> 195   11.76      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 32.1  20.90      1  37        1         0
#> 136   21.83      1  43        0         1
#> 86    23.81      1  58        0         1
#> 164.1 23.60      1  76        0         1
#> 85.1  16.44      1  36        0         0
#> 99.1  21.19      1  38        0         1
#> 55    19.34      1  69        0         1
#> 140   12.68      1  59        1         0
#> 129   23.41      1  53        1         0
#> 96    14.54      1  33        0         1
#> 40    18.00      1  28        1         0
#> 86.1  23.81      1  58        0         1
#> 181.1 16.46      1  45        0         1
#> 177   12.53      1  75        0         0
#> 125   15.65      1  67        1         0
#> 155   13.08      1  26        0         0
#> 58    19.34      1  39        0         0
#> 81    14.06      1  34        0         0
#> 190.1 20.81      1  42        1         0
#> 164.2 23.60      1  76        0         1
#> 170   19.54      1  43        0         1
#> 168   23.72      1  70        0         0
#> 49    12.19      1  48        1         0
#> 49.1  12.19      1  48        1         0
#> 192   16.44      1  31        1         0
#> 5     16.43      1  51        0         1
#> 6     15.64      1  39        0         0
#> 78    23.88      1  43        0         0
#> 175   21.91      1  43        0         0
#> 166   19.98      1  48        0         0
#> 123   13.00      1  44        1         0
#> 158   20.14      1  74        1         0
#> 51    18.23      1  83        0         1
#> 139   21.49      1  63        1         0
#> 155.1 13.08      1  26        0         0
#> 106.1 16.67      1  49        1         0
#> 30    17.43      1  78        0         0
#> 77.1   7.27      1  67        0         1
#> 15.1  22.68      1  48        0         0
#> 85.2  16.44      1  36        0         0
#> 136.1 21.83      1  43        0         1
#> 111   17.45      1  47        0         1
#> 37.1  12.52      1  57        1         0
#> 150.1 20.33      1  48        0         0
#> 24    23.89      1  38        0         0
#> 125.1 15.65      1  67        1         0
#> 195.1 11.76      1  NA        1         0
#> 106.2 16.67      1  49        1         0
#> 10.1  10.53      1  34        0         0
#> 23.1  16.92      1  61        0         0
#> 23.2  16.92      1  61        0         0
#> 50.1  10.02      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 43    12.10      1  61        0         1
#> 154.1 12.63      1  20        1         0
#> 136.2 21.83      1  43        0         1
#> 76    19.22      1  54        0         1
#> 177.1 12.53      1  75        0         0
#> 23.3  16.92      1  61        0         0
#> 154.2 12.63      1  20        1         0
#> 197   21.60      1  69        1         0
#> 66    22.13      1  53        0         0
#> 99.2  21.19      1  38        0         1
#> 61    10.12      1  36        0         1
#> 159   10.55      1  50        0         1
#> 134   17.81      1  47        1         0
#> 179.1 18.63      1  42        0         0
#> 26.1  15.77      1  49        0         1
#> 5.1   16.43      1  51        0         1
#> 49.2  12.19      1  48        1         0
#> 158.1 20.14      1  74        1         0
#> 170.1 19.54      1  43        0         1
#> 169   22.41      1  46        0         0
#> 42    12.43      1  49        0         1
#> 129.1 23.41      1  53        1         0
#> 24.1  23.89      1  38        0         0
#> 132   24.00      0  55        0         0
#> 44    24.00      0  56        0         0
#> 35    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 191   24.00      0  60        0         1
#> 182   24.00      0  35        0         0
#> 48    24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 98    24.00      0  34        1         0
#> 138   24.00      0  44        1         0
#> 35.1  24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 64    24.00      0  43        0         0
#> 143   24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 132.1 24.00      0  55        0         0
#> 102   24.00      0  49        0         0
#> 19    24.00      0  57        0         1
#> 126   24.00      0  48        0         0
#> 198   24.00      0  66        0         1
#> 74    24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 3     24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 104   24.00      0  50        1         0
#> 28    24.00      0  67        1         0
#> 115   24.00      0  NA        1         0
#> 116   24.00      0  58        0         1
#> 44.1  24.00      0  56        0         0
#> 102.1 24.00      0  49        0         0
#> 172   24.00      0  41        0         0
#> 109   24.00      0  48        0         0
#> 132.2 24.00      0  55        0         0
#> 87    24.00      0  27        0         0
#> 35.2  24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 162.1 24.00      0  51        0         0
#> 191.1 24.00      0  60        0         1
#> 95    24.00      0  68        0         1
#> 178   24.00      0  52        1         0
#> 116.1 24.00      0  58        0         1
#> 62    24.00      0  71        0         0
#> 7     24.00      0  37        1         0
#> 142   24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 74.1  24.00      0  43        0         1
#> 11    24.00      0  42        0         1
#> 161.1 24.00      0  45        0         0
#> 95.1  24.00      0  68        0         1
#> 98.1  24.00      0  34        1         0
#> 132.3 24.00      0  55        0         0
#> 193   24.00      0  45        0         1
#> 137   24.00      0  45        1         0
#> 144   24.00      0  28        0         1
#> 53    24.00      0  32        0         1
#> 44.2  24.00      0  56        0         0
#> 12    24.00      0  63        0         0
#> 80    24.00      0  41        0         0
#> 142.1 24.00      0  53        0         0
#> 146   24.00      0  63        1         0
#> 98.2  24.00      0  34        1         0
#> 1     24.00      0  23        1         0
#> 126.1 24.00      0  48        0         0
#> 161.2 24.00      0  45        0         0
#> 115.1 24.00      0  NA        1         0
#> 147   24.00      0  76        1         0
#> 22    24.00      0  52        1         0
#> 75    24.00      0  21        1         0
#> 82    24.00      0  34        0         0
#> 82.1  24.00      0  34        0         0
#> 31.1  24.00      0  36        0         1
#> 160   24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 12.1  24.00      0  63        0         0
#> 174   24.00      0  49        1         0
#> 28.1  24.00      0  67        1         0
#> 103.1 24.00      0  56        1         0
#> 19.1  24.00      0  57        0         1
#> 103.2 24.00      0  56        1         0
#> 185   24.00      0  44        1         0
#> 11.2  24.00      0  42        0         1
#> 34    24.00      0  36        0         0
#> 19.2  24.00      0  57        0         1
#> 161.3 24.00      0  45        0         0
#> 178.1 24.00      0  52        1         0
#> 200   24.00      0  64        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.370          NA        NA      NA
#> 2 age, Cure model          0.00479        NA        NA      NA
#> 3 grade_ii, Cure model     0.387          NA        NA      NA
#> 4 grade_iii, Cure model    0.700          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00645        NA        NA      NA
#> 2 grade_ii, Survival model   0.546          NA        NA      NA
#> 3 grade_iii, Survival model  0.232          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.37046           0.00479           0.38702           0.69960  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 258.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.370460394      0.004790441      0.387019990      0.699596122 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006447627      0.546054753      0.232304235 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.402625432 0.804927344 0.244234558 0.112054846 0.280881391 0.422139724
#>   [7] 0.519715588 0.548809015 0.990245435 0.756336960 0.558701877 0.636873581
#>  [13] 0.902178896 0.578351254 0.103063162 0.049478477 0.961001366 0.941428623
#>  [19] 0.373917209 0.931640134 0.234519032 0.206658636 0.882679241 0.951204832
#>  [25] 0.093735617 0.646838963 0.262760049 0.480732395 0.911992419 0.970758559
#>  [31] 0.383491639 0.244234558 0.159136331 0.024431281 0.049478477 0.578351254
#>  [37] 0.206658636 0.345621129 0.746353843 0.075886157 0.696401618 0.441781365
#>  [43] 0.024431281 0.558701877 0.785307038 0.666664874 0.716387346 0.345621129
#>  [49] 0.706380567 0.262760049 0.049478477 0.327066504 0.039988219 0.834286191
#>  [55] 0.834286191 0.578351254 0.617117850 0.686419850 0.015885945 0.149276473
#>  [61] 0.317677639 0.736346614 0.299319674 0.431931369 0.196939574 0.716387346
#>  [67] 0.519715588 0.470942226 0.970758559 0.112054846 0.578351254 0.159136331
#>  [73] 0.461231844 0.804927344 0.280881391 0.004427348 0.666664874 0.519715588
#>  [79] 0.882679241 0.480732395 0.480732395 0.412352396 0.863165475 0.756336960
#>  [85] 0.159136331 0.364384378 0.785307038 0.480732395 0.756336960 0.187148092
#>  [91] 0.139571995 0.206658636 0.921816286 0.872917660 0.451535410 0.383491639
#>  [97] 0.646838963 0.617117850 0.834286191 0.299319674 0.327066504 0.130059158
#> [103] 0.824454638 0.075886157 0.004427348 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>     8    37    32    15   150   108   106   130    25   154   181   188    52 
#> 18.43 12.52 20.90 22.68 20.33 18.29 16.67 16.47  6.32 12.63 16.46 16.16 10.42 
#>    85    63   164   149   183    97   187    90    99    10    16    69    26 
#> 16.44 22.77 23.60  8.37  9.24 19.14  9.92 20.94 21.19 10.53  8.71 23.23 15.77 
#>   190    23    93    77   179  32.1   136    86 164.1  85.1  99.1    55   140 
#> 20.81 16.92 10.33  7.27 18.63 20.90 21.83 23.81 23.60 16.44 21.19 19.34 12.68 
#>   129    96    40  86.1 181.1   177   125   155    58    81 190.1 164.2   170 
#> 23.41 14.54 18.00 23.81 16.46 12.53 15.65 13.08 19.34 14.06 20.81 23.60 19.54 
#>   168    49  49.1   192     5     6    78   175   166   123   158    51   139 
#> 23.72 12.19 12.19 16.44 16.43 15.64 23.88 21.91 19.98 13.00 20.14 18.23 21.49 
#> 155.1 106.1    30  77.1  15.1  85.2 136.1   111  37.1 150.1    24 125.1 106.2 
#> 13.08 16.67 17.43  7.27 22.68 16.44 21.83 17.45 12.52 20.33 23.89 15.65 16.67 
#>  10.1  23.1  23.2    88    43 154.1 136.2    76 177.1  23.3 154.2   197    66 
#> 10.53 16.92 16.92 18.37 12.10 12.63 21.83 19.22 12.53 16.92 12.63 21.60 22.13 
#>  99.2    61   159   134 179.1  26.1   5.1  49.2 158.1 170.1   169    42 129.1 
#> 21.19 10.12 10.55 17.81 18.63 15.77 16.43 12.19 20.14 19.54 22.41 12.43 23.41 
#>  24.1   132    44    35    17   191   182    48    31    98   138  35.1   162 
#> 23.89 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161    64   143   119 132.1   102    19   126   198    74   112     3    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104    28   116  44.1 102.1   172   109 132.2    87  35.2   118   103 162.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1    95   178 116.1    62     7   142    38  74.1    11 161.1  95.1  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.3   193   137   144    53  44.2    12    80 142.1   146  98.2     1 126.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.2   147    22    75    82  82.1  31.1   160  11.1  12.1   174  28.1 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1 103.2   185  11.2    34  19.2 161.3 178.1   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[99]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02244959                0.55332938                0.36274389 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            5.174248e-02           -3.699002e-05           -2.323531e-01 
#>   grade_iii, Cure model 
#>            6.704864e-01 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 56    12.21      1  60        0         0
#> 155   13.08      1  26        0         0
#> 180   14.82      1  37        0         0
#> 23    16.92      1  61        0         0
#> 180.1 14.82      1  37        0         0
#> 155.1 13.08      1  26        0         0
#> 181   16.46      1  45        0         1
#> 70     7.38      1  30        1         0
#> 79    16.23      1  54        1         0
#> 45    17.42      1  54        0         1
#> 123   13.00      1  44        1         0
#> 101    9.97      1  10        0         1
#> 97    19.14      1  65        0         1
#> 110   17.56      1  65        0         1
#> 49    12.19      1  48        1         0
#> 18    15.21      1  49        1         0
#> 117   17.46      1  26        0         1
#> 139   21.49      1  63        1         0
#> 150   20.33      1  48        0         0
#> 164   23.60      1  76        0         1
#> 24    23.89      1  38        0         0
#> 96    14.54      1  33        0         1
#> 177   12.53      1  75        0         0
#> 199   19.81      1  NA        0         1
#> 92    22.92      1  47        0         1
#> 88    18.37      1  47        0         0
#> 128   20.35      1  35        0         1
#> 167   15.55      1  56        1         0
#> 88.1  18.37      1  47        0         0
#> 15    22.68      1  48        0         0
#> 139.1 21.49      1  63        1         0
#> 66    22.13      1  53        0         0
#> 154   12.63      1  20        1         0
#> 199.1 19.81      1  NA        0         1
#> 133   14.65      1  57        0         0
#> 63    22.77      1  31        1         0
#> 49.1  12.19      1  48        1         0
#> 78    23.88      1  43        0         0
#> 96.1  14.54      1  33        0         1
#> 26    15.77      1  49        0         1
#> 26.1  15.77      1  49        0         1
#> 45.1  17.42      1  54        0         1
#> 113   22.86      1  34        0         0
#> 97.1  19.14      1  65        0         1
#> 168   23.72      1  70        0         0
#> 188   16.16      1  46        0         1
#> 145   10.07      1  65        1         0
#> 106   16.67      1  49        1         0
#> 10    10.53      1  34        0         0
#> 154.1 12.63      1  20        1         0
#> 15.1  22.68      1  48        0         0
#> 23.1  16.92      1  61        0         0
#> 111   17.45      1  47        0         1
#> 40    18.00      1  28        1         0
#> 25     6.32      1  34        1         0
#> 189   10.51      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 56.1  12.21      1  60        0         0
#> 50    10.02      1  NA        1         0
#> 15.2  22.68      1  48        0         0
#> 169   22.41      1  46        0         0
#> 89    11.44      1  NA        0         0
#> 10.1  10.53      1  34        0         0
#> 26.2  15.77      1  49        0         1
#> 85    16.44      1  36        0         0
#> 40.1  18.00      1  28        1         0
#> 101.1  9.97      1  10        0         1
#> 123.1 13.00      1  44        1         0
#> 168.1 23.72      1  70        0         0
#> 110.1 17.56      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 184   17.77      1  38        0         0
#> 85.1  16.44      1  36        0         0
#> 10.2  10.53      1  34        0         0
#> 127    3.53      1  62        0         1
#> 170   19.54      1  43        0         1
#> 101.2  9.97      1  10        0         1
#> 36    21.19      1  48        0         1
#> 105   19.75      1  60        0         0
#> 189.1 10.51      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 164.1 23.60      1  76        0         1
#> 85.2  16.44      1  36        0         0
#> 197   21.60      1  69        1         0
#> 55    19.34      1  69        0         1
#> 180.2 14.82      1  37        0         0
#> 76    19.22      1  54        0         1
#> 16     8.71      1  71        0         1
#> 10.3  10.53      1  34        0         0
#> 124    9.73      1  NA        1         0
#> 36.1  21.19      1  48        0         1
#> 5     16.43      1  51        0         1
#> 175   21.91      1  43        0         0
#> 55.1  19.34      1  69        0         1
#> 180.3 14.82      1  37        0         0
#> 166   19.98      1  48        0         0
#> 128.1 20.35      1  35        0         1
#> 111.1 17.45      1  47        0         1
#> 10.4  10.53      1  34        0         0
#> 108   18.29      1  39        0         1
#> 32    20.90      1  37        1         0
#> 195.1 11.76      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 36.2  21.19      1  48        0         1
#> 140   12.68      1  59        1         0
#> 180.4 14.82      1  37        0         0
#> 93    10.33      1  52        0         1
#> 175.1 21.91      1  43        0         0
#> 192   16.44      1  31        1         0
#> 187    9.92      1  39        1         0
#> 180.5 14.82      1  37        0         0
#> 48    24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 178   24.00      0  52        1         0
#> 162   24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 172   24.00      0  41        0         0
#> 104   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 132   24.00      0  55        0         0
#> 35    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 174   24.00      0  49        1         0
#> 186   24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 44    24.00      0  56        0         0
#> 31    24.00      0  36        0         1
#> 122.1 24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 196   24.00      0  19        0         0
#> 193   24.00      0  45        0         1
#> 116   24.00      0  58        0         1
#> 109   24.00      0  48        0         0
#> 174.1 24.00      0  49        1         0
#> 12    24.00      0  63        0         0
#> 109.1 24.00      0  48        0         0
#> 48.1  24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 75    24.00      0  21        1         0
#> 83.1  24.00      0   6        0         0
#> 82    24.00      0  34        0         0
#> 75.1  24.00      0  21        1         0
#> 138   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 200   24.00      0  64        0         0
#> 72    24.00      0  40        0         1
#> 151   24.00      0  42        0         0
#> 47    24.00      0  38        0         1
#> 20    24.00      0  46        1         0
#> 1     24.00      0  23        1         0
#> 126   24.00      0  48        0         0
#> 64    24.00      0  43        0         0
#> 162.1 24.00      0  51        0         0
#> 152.1 24.00      0  36        0         1
#> 138.1 24.00      0  44        1         0
#> 174.2 24.00      0  49        1         0
#> 94    24.00      0  51        0         1
#> 74    24.00      0  43        0         1
#> 126.1 24.00      0  48        0         0
#> 163.1 24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 122.2 24.00      0  66        0         0
#> 172.1 24.00      0  41        0         0
#> 193.1 24.00      0  45        0         1
#> 103   24.00      0  56        1         0
#> 131   24.00      0  66        0         0
#> 17.1  24.00      0  38        0         1
#> 182.1 24.00      0  35        0         0
#> 3     24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 34    24.00      0  36        0         0
#> 146   24.00      0  63        1         0
#> 44.1  24.00      0  56        0         0
#> 115   24.00      0  NA        1         0
#> 44.2  24.00      0  56        0         0
#> 116.1 24.00      0  58        0         1
#> 65.1  24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 65.2  24.00      0  57        1         0
#> 71    24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 65.3  24.00      0  57        1         0
#> 53.1  24.00      0  32        0         1
#> 12.1  24.00      0  63        0         0
#> 87    24.00      0  27        0         0
#> 53.2  24.00      0  32        0         1
#> 122.3 24.00      0  66        0         0
#> 147.1 24.00      0  76        1         0
#> 38.1  24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 27    24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0517           NA        NA      NA
#> 2 age, Cure model         -0.0000370        NA        NA      NA
#> 3 grade_ii, Cure model    -0.232            NA        NA      NA
#> 4 grade_iii, Cure model    0.670            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0224        NA        NA      NA
#> 2 grade_ii, Survival model    0.553         NA        NA      NA
#> 3 grade_iii, Survival model   0.363         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        5.174e-02        -3.699e-05        -2.324e-01         6.705e-01  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 256.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     5.174248e-02    -3.699002e-05    -2.323531e-01     6.704864e-01 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02244959       0.55332938       0.36274389 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 6.592745e-01 5.338150e-01 4.081506e-01 2.067388e-01 4.081506e-01
#>   [6] 5.338150e-01 2.359691e-01 9.428328e-01 2.986245e-01 1.887633e-01
#>  [11] 5.643887e-01 8.509241e-01 9.083782e-02 1.473345e-01 6.925694e-01
#>  [16] 3.821270e-01 1.633958e-01 1.830634e-02 5.366474e-02 4.206091e-04
#>  [21] 2.269419e-06 5.039966e-01 6.430266e-01 1.323815e-03 1.037161e-01
#>  [26] 4.535644e-02 3.694349e-01 1.037161e-01 3.952652e-03 1.830634e-02
#>  [31] 9.285750e-03 6.115801e-01 4.891413e-01 2.988873e-03 6.925694e-01
#>  [36] 2.372188e-05 5.039966e-01 3.215582e-01 3.215582e-01 1.887633e-01
#>  [41] 2.066814e-03 9.083782e-02 8.191023e-05 3.099878e-01 8.322068e-01
#>  [46] 2.259611e-01 7.265306e-01 6.115801e-01 3.952652e-03 2.067388e-01
#>  [51] 1.717173e-01 1.251408e-01 9.617614e-01 2.413435e-02 6.592745e-01
#>  [56] 3.952652e-03 7.588809e-03 7.265306e-01 3.215582e-01 2.461836e-01
#>  [61] 1.251408e-01 8.509241e-01 5.643887e-01 8.191023e-05 1.473345e-01
#>  [66] 3.949991e-01 1.396471e-01 2.461836e-01 7.265306e-01 9.807610e-01
#>  [71] 6.816967e-02 8.509241e-01 2.746192e-02 6.305861e-02 3.569594e-01
#>  [76] 4.206091e-04 2.461836e-01 1.565468e-02 7.346037e-02 4.081506e-01
#>  [81] 8.475059e-02 9.239470e-01 7.265306e-01 2.746192e-02 2.874662e-01
#>  [86] 1.123026e-02 7.346037e-02 4.081506e-01 5.823680e-02 4.535644e-02
#>  [91] 1.717173e-01 7.265306e-01 1.177296e-01 4.126586e-02 2.746192e-02
#>  [96] 2.746192e-02 5.955577e-01 4.081506e-01 8.137370e-01 1.123026e-02
#> [101] 2.461836e-01 9.053307e-01 4.081506e-01 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    56   155   180    23 180.1 155.1   181    70    79    45   123   101    97 
#> 12.21 13.08 14.82 16.92 14.82 13.08 16.46  7.38 16.23 17.42 13.00  9.97 19.14 
#>   110    49    18   117   139   150   164    24    96   177    92    88   128 
#> 17.56 12.19 15.21 17.46 21.49 20.33 23.60 23.89 14.54 12.53 22.92 18.37 20.35 
#>   167  88.1    15 139.1    66   154   133    63  49.1    78  96.1    26  26.1 
#> 15.55 18.37 22.68 21.49 22.13 12.63 14.65 22.77 12.19 23.88 14.54 15.77 15.77 
#>  45.1   113  97.1   168   188   145   106    10 154.1  15.1  23.1   111    40 
#> 17.42 22.86 19.14 23.72 16.16 10.07 16.67 10.53 12.63 22.68 16.92 17.45 18.00 
#>    25   153  56.1  15.2   169  10.1  26.2    85  40.1 101.1 123.1 168.1 110.1 
#>  6.32 21.33 12.21 22.68 22.41 10.53 15.77 16.44 18.00  9.97 13.00 23.72 17.56 
#>   157   184  85.1  10.2   127   170 101.2    36   105   125 164.1  85.2   197 
#> 15.10 17.77 16.44 10.53  3.53 19.54  9.97 21.19 19.75 15.65 23.60 16.44 21.60 
#>    55 180.2    76    16  10.3  36.1     5   175  55.1 180.3   166 128.1 111.1 
#> 19.34 14.82 19.22  8.71 10.53 21.19 16.43 21.91 19.34 14.82 19.98 20.35 17.45 
#>  10.4   108    32    99  36.2   140 180.4    93 175.1   192   187 180.5    48 
#> 10.53 18.29 20.90 21.19 21.19 12.68 14.82 10.33 21.91 16.44  9.92 14.82 24.00 
#>    62   173   178   162   152   182   172   104   143   163   122   137   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35    17    83   174   186    65    44    31 122.1   165   196   193   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109 174.1    12 109.1  48.1    11    75  83.1    82  75.1   138    38   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   200    72   151    47    20     1   126    64 162.1 152.1 138.1 174.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94    74 126.1 163.1   161 122.2 172.1 193.1   103   131  17.1 182.1     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147    34   146  44.1  44.2 116.1  65.1    53  65.2    71  35.1  65.3  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.1    87  53.2 122.3 147.1  38.1    54    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[100]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002902015               0.176012519               0.713400099 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.336302479             0.002636607            -0.148652671 
#>   grade_iii, Cure model 
#>             1.274812190 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55e4260bbbb0>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 100   16.07      1  60        0         0
#> 181   16.46      1  45        0         1
#> 59    10.16      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 105   19.75      1  60        0         0
#> 66.1  22.13      1  53        0         0
#> 96    14.54      1  33        0         1
#> 199   19.81      1  NA        0         1
#> 45    17.42      1  54        0         1
#> 42    12.43      1  49        0         1
#> 93    10.33      1  52        0         1
#> 78    23.88      1  43        0         0
#> 79    16.23      1  54        1         0
#> 169   22.41      1  46        0         0
#> 124    9.73      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 153   21.33      1  55        1         0
#> 10    10.53      1  34        0         0
#> 107   11.18      1  54        1         0
#> 14    12.89      1  21        0         0
#> 25     6.32      1  34        1         0
#> 36    21.19      1  48        0         1
#> 8     18.43      1  32        0         0
#> 15    22.68      1  48        0         0
#> 76    19.22      1  54        0         1
#> 91     5.33      1  61        0         1
#> 153.1 21.33      1  55        1         0
#> 97    19.14      1  65        0         1
#> 93.1  10.33      1  52        0         1
#> 188   16.16      1  46        0         1
#> 88    18.37      1  47        0         0
#> 43    12.10      1  61        0         1
#> 90    20.94      1  50        0         1
#> 52    10.42      1  52        0         1
#> 110   17.56      1  65        0         1
#> 63    22.77      1  31        1         0
#> 113   22.86      1  34        0         0
#> 25.1   6.32      1  34        1         0
#> 88.1  18.37      1  47        0         0
#> 13    14.34      1  54        0         1
#> 117   17.46      1  26        0         1
#> 76.1  19.22      1  54        0         1
#> 57    14.46      1  45        0         1
#> 43.1  12.10      1  61        0         1
#> 26    15.77      1  49        0         1
#> 177   12.53      1  75        0         0
#> 15.1  22.68      1  48        0         0
#> 5     16.43      1  51        0         1
#> 39    15.59      1  37        0         1
#> 68    20.62      1  44        0         0
#> 101    9.97      1  10        0         1
#> 111   17.45      1  47        0         1
#> 197   21.60      1  69        1         0
#> 150   20.33      1  48        0         0
#> 134   17.81      1  47        1         0
#> 157   15.10      1  47        0         0
#> 101.1  9.97      1  10        0         1
#> 42.1  12.43      1  49        0         1
#> 5.1   16.43      1  51        0         1
#> 125   15.65      1  67        1         0
#> 58    19.34      1  39        0         0
#> 128   20.35      1  35        0         1
#> 128.1 20.35      1  35        0         1
#> 124.1  9.73      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 61    10.12      1  36        0         1
#> 81    14.06      1  34        0         0
#> 63.1  22.77      1  31        1         0
#> 49    12.19      1  48        1         0
#> 124.2  9.73      1  NA        1         0
#> 45.1  17.42      1  54        0         1
#> 77     7.27      1  67        0         1
#> 179   18.63      1  42        0         0
#> 106   16.67      1  49        1         0
#> 88.2  18.37      1  47        0         0
#> 106.1 16.67      1  49        1         0
#> 194   22.40      1  38        0         1
#> 101.2  9.97      1  10        0         1
#> 32    20.90      1  37        1         0
#> 124.3  9.73      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 99    21.19      1  38        0         1
#> 199.1 19.81      1  NA        0         1
#> 123   13.00      1  44        1         0
#> 55    19.34      1  69        0         1
#> 130   16.47      1  53        0         1
#> 68.1  20.62      1  44        0         0
#> 170   19.54      1  43        0         1
#> 155   13.08      1  26        0         0
#> 32.1  20.90      1  37        1         0
#> 124.4  9.73      1  NA        1         0
#> 91.1   5.33      1  61        0         1
#> 51    18.23      1  83        0         1
#> 188.1 16.16      1  46        0         1
#> 101.3  9.97      1  10        0         1
#> 134.1 17.81      1  47        1         0
#> 30    17.43      1  78        0         0
#> 68.2  20.62      1  44        0         0
#> 107.1 11.18      1  54        1         0
#> 56    12.21      1  60        0         0
#> 18    15.21      1  49        1         0
#> 105.1 19.75      1  60        0         0
#> 150.1 20.33      1  48        0         0
#> 110.1 17.56      1  65        0         1
#> 123.1 13.00      1  44        1         0
#> 194.1 22.40      1  38        0         1
#> 5.2   16.43      1  51        0         1
#> 129.1 23.41      1  53        1         0
#> 39.1  15.59      1  37        0         1
#> 24    23.89      1  38        0         0
#> 128.2 20.35      1  35        0         1
#> 50    10.02      1  NA        1         0
#> 200   24.00      0  64        0         0
#> 72    24.00      0  40        0         1
#> 80    24.00      0  41        0         0
#> 118   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 80.1  24.00      0  41        0         0
#> 62    24.00      0  71        0         0
#> 182   24.00      0  35        0         0
#> 172   24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 118.1 24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 38.1  24.00      0  31        1         0
#> 118.2 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 12    24.00      0  63        0         0
#> 94    24.00      0  51        0         1
#> 173   24.00      0  19        0         1
#> 185   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 19    24.00      0  57        0         1
#> 142   24.00      0  53        0         0
#> 84.1  24.00      0  39        0         1
#> 165   24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 138   24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 34    24.00      0  36        0         0
#> 174   24.00      0  49        1         0
#> 120   24.00      0  68        0         1
#> 22    24.00      0  52        1         0
#> 182.1 24.00      0  35        0         0
#> 75    24.00      0  21        1         0
#> 44    24.00      0  56        0         0
#> 182.2 24.00      0  35        0         0
#> 176.1 24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 135   24.00      0  58        1         0
#> 119   24.00      0  17        0         0
#> 21    24.00      0  47        0         0
#> 3     24.00      0  31        1         0
#> 22.1  24.00      0  52        1         0
#> 44.1  24.00      0  56        0         0
#> 122.1 24.00      0  66        0         0
#> 121.1 24.00      0  57        1         0
#> 48    24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 141   24.00      0  44        1         0
#> 182.3 24.00      0  35        0         0
#> 84.2  24.00      0  39        0         1
#> 22.2  24.00      0  52        1         0
#> 65    24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 148.1 24.00      0  61        1         0
#> 80.2  24.00      0  41        0         0
#> 12.1  24.00      0  63        0         0
#> 186.1 24.00      0  45        1         0
#> 2     24.00      0   9        0         0
#> 174.1 24.00      0  49        1         0
#> 122.2 24.00      0  66        0         0
#> 27    24.00      0  63        1         0
#> 22.3  24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 165.1 24.00      0  47        0         0
#> 116   24.00      0  58        0         1
#> 73    24.00      0  NA        0         1
#> 12.2  24.00      0  63        0         0
#> 146   24.00      0  63        1         0
#> 9     24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 186.2 24.00      0  45        1         0
#> 172.1 24.00      0  41        0         0
#> 17    24.00      0  38        0         1
#> 72.1  24.00      0  40        0         1
#> 151.1 24.00      0  42        0         0
#> 53    24.00      0  32        0         1
#> 186.3 24.00      0  45        1         0
#> 48.1  24.00      0  31        1         0
#> 121.2 24.00      0  57        1         0
#> 44.2  24.00      0  56        0         0
#> 44.3  24.00      0  56        0         0
#> 46    24.00      0  71        0         0
#> 21.1  24.00      0  47        0         0
#> 17.1  24.00      0  38        0         1
#> 126   24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.336          NA        NA      NA
#> 2 age, Cure model          0.00264        NA        NA      NA
#> 3 grade_ii, Cure model    -0.149          NA        NA      NA
#> 4 grade_iii, Cure model    1.27           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00290        NA        NA      NA
#> 2 grade_ii, Survival model   0.176          NA        NA      NA
#> 3 grade_iii, Survival model  0.713          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.336302          0.002637         -0.148653          1.274812  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 243.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.336302479      0.002636607     -0.148652671      1.274812190 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002902015      0.176012519      0.713400099 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.76639020 0.71702556 0.28361529 0.49334092 0.28361529 0.81334626
#>   [7] 0.67906343 0.87097227 0.93201927 0.05729872 0.74555553 0.23840347
#>  [13] 0.32529481 0.91998321 0.90792498 0.85826083 0.97777812 0.35165302
#>  [19] 0.57819922 0.20530803 0.54227018 0.98897869 0.32529481 0.56038214
#>  [25] 0.93201927 0.75263703 0.58708542 0.89580319 0.37565216 0.92602810
#>  [31] 0.63875286 0.17140996 0.15232970 0.97777812 0.58708542 0.82636984
#>  [37] 0.65507509 0.54227018 0.81989233 0.89580319 0.77328609 0.86462223
#>  [43] 0.20530803 0.72443376 0.78688691 0.40990684 0.94959742 0.66316588
#>  [49] 0.31137885 0.47312251 0.62179608 0.80673388 0.94959742 0.87097227
#>  [55] 0.72443376 0.78009979 0.52327844 0.44293074 0.44293074 0.08937337
#>  [61] 0.94375654 0.83277767 0.17140996 0.88960071 0.67906343 0.97214124
#>  [67] 0.56929972 0.69435149 0.58708542 0.69435149 0.25539505 0.94959742
#>  [73] 0.38733411 0.13300195 0.35165302 0.84557930 0.52327844 0.70951449
#>  [79] 0.40990684 0.51340309 0.83918040 0.38733411 0.98897869 0.61317226
#>  [85] 0.75263703 0.94959742 0.62179608 0.67112661 0.40990684 0.90792498
#>  [91] 0.88338216 0.80011358 0.49334092 0.47312251 0.63875286 0.84557930
#>  [97] 0.25539505 0.72443376 0.08937337 0.78688691 0.02339896 0.44293074
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   100   181    66   105  66.1    96    45    42    93    78    79   169   153 
#> 16.07 16.46 22.13 19.75 22.13 14.54 17.42 12.43 10.33 23.88 16.23 22.41 21.33 
#>    10   107    14    25    36     8    15    76    91 153.1    97  93.1   188 
#> 10.53 11.18 12.89  6.32 21.19 18.43 22.68 19.22  5.33 21.33 19.14 10.33 16.16 
#>    88    43    90    52   110    63   113  25.1  88.1    13   117  76.1    57 
#> 18.37 12.10 20.94 10.42 17.56 22.77 22.86  6.32 18.37 14.34 17.46 19.22 14.46 
#>  43.1    26   177  15.1     5    39    68   101   111   197   150   134   157 
#> 12.10 15.77 12.53 22.68 16.43 15.59 20.62  9.97 17.45 21.60 20.33 17.81 15.10 
#> 101.1  42.1   5.1   125    58   128 128.1   129    61    81  63.1    49  45.1 
#>  9.97 12.43 16.43 15.65 19.34 20.35 20.35 23.41 10.12 14.06 22.77 12.19 17.42 
#>    77   179   106  88.2 106.1   194 101.2    32    92    99   123    55   130 
#>  7.27 18.63 16.67 18.37 16.67 22.40  9.97 20.90 22.92 21.19 13.00 19.34 16.47 
#>  68.1   170   155  32.1  91.1    51 188.1 101.3 134.1    30  68.2 107.1    56 
#> 20.62 19.54 13.08 20.90  5.33 18.23 16.16  9.97 17.81 17.43 20.62 11.18 12.21 
#>    18 105.1 150.1 110.1 123.1 194.1   5.2 129.1  39.1    24 128.2   200    72 
#> 15.21 19.75 20.33 17.56 13.00 22.40 16.43 23.41 15.59 23.89 20.35 24.00 24.00 
#>    80   118    38  80.1    62   182   172   151 118.1   122  38.1 118.2   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12    94   173   185    84    19   142  84.1   165   121   148   138   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   174   120    22 182.1    75    44 182.2 176.1   112   135   119    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3  22.1  44.1 122.1 121.1    48    35   137   141 182.3  84.2  22.2    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186 148.1  80.2  12.1 186.1     2 174.1 122.2    27  22.3    71  94.1 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116  12.2   146     9    47 186.2 172.1    17  72.1 151.1    53 186.3  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.2  44.2  44.3    46  21.1  17.1   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 2 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#> 
#> $cure_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 0 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#>